2025

Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe. 7/21/2025. “Robust Optimization with Diffusion Models for Green Security.” Conference on Uncertainty in Artificial Intelligence (UAI).

Paula Rodriguez-Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe. 7/21/2025. “What is the Right Notion of Distance between Predict-then-Optimize Tasks?” Conference on Uncertainty in Artificial Intelligence (UAI).

Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta. 7/13/2025. “Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning.” International Conference on Machine Learning (ICML). Vancouver, Canada.

Sanket Shah. 5/15/2025. “Decision-Focused Learning for the Masses With Applications to Public Health” PhD Thesis, Harvard Computer Science.

Milind Tambe, Fei Fang, Andrew Perrault, Bryan Wilder. 4/20/2025. “The Next Wave of AI for Social Impact: Challenges and Opportunities.” IEEE Intelligent Systems (to appear).

Sarah Martinson, Lingkai Kong, Cheol Woo Kim, Aparna Taneja, Milind Tambe. 4/20/2025. “LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation.” AAMAS workshop on Autonomous Agents for Social Good (AASG).

Lily Xu, Bryan Wilder, Elias Khalil, Milind Tambe. 4/20/2025. “Reinforcement learning with combinatorial actions for coupled restless bandits.” International Conference on Learning Representations (ICLR).

Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakrabarti, Milind Tambe, Michael Wellman, Yevgeniy Vorobeychik 5/20/2025. “A game‑theoretic approach for hierarchical epidemic control.” Journal of Autonomous Agents and Multiagent Systems (to appear).

Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugham, Milind Tambe, Aparna Taneja. 5/20/2025. “Bayesian Collaborative Bandits with Thompson Sampling for
Improved Outreach in Maternal Health Program.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Detroit, Michigan, USA.

Tonghan Wang, Heng Dong, Yenchan Wang, David Parkes and Milind Tambe. 5/20/2025. “On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Detroit, Michigan, USA.

Yunfan Zhao, Niclas Boehmer, Aparna Taneja and Milind Tambe. 5/20/2025. “Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Detroit, Michigan, USA.

Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, and Milind Tambe. 5/20/2025. “Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Detroit, Michigan, USA.

Ambreesh Parthasarathy, Chandrasekar Subramanian, Ganesh Senrayan, Shreyash Adappanavar, Aparna Taneja, Balaraman Ravindran, and Milind Tambe. 3/3/2025. “Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness.” In Deployable AI (DAI) workshop at AAAI 3/3/2025.

Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, and Aparna Taneja. 3/1/2025. “Leveraging AI to Improve Health Information Access in the World’s LargestMaternal Mobile Health Program.” AI Magazine (to appear).

Yunfan Zhao, Tonghan Wang, Dheeraj Nagraj, Aparna Taneja, and Milind Tambe. 2/28/2025. “The Bandit Whisperer: Communication Learning for Restless Bandits.” In AAAI Conference on Artificial Intelligence (AAAI 2025).

Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, and Lucas Janson. 2/28/2025. “Context in Public Health for Underserved Communities:A Bayesian Approach to Online Restless Bandits.” In AAAI Conference on Artificial Intelligence (AAAI 2025).

Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, and Milind Tambe. 2/28/2025. “Evaluating Index-based Treatment Allocation in Underresourced Communities.” In AAAI Conference on Artificial Intelligence (AAAI 2025).

Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Cueto del Cibrian, Joseph Ngonzi, Adeline Boatin, and Milind Tambe. 2/27/2025. “Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care:An RL-Based Restless Bandit Approach.” In Innovative Applications of Artificial Intelligence (IAAI 2025).

Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, and Milind Tambe. 2/1/2025. “PRIORITY2REWARD: Incorporating Healthworker Preferences for ResourceAllocation Planning.” In AAAI Conference on Artificial Intelligence (AAAI 2025) Demonstration Program.

2024

N. Behari, E. Zhang, Y. Zhao, A. Taneja, D. Nagaraj, M. Tambe. 12/10/2024. “A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health” In Conference on Neural Information Processing Systems (NeurIPS), December, 2024

E. Zhang, V. Zhu, N. Saphra, A. Kleiman, B. Edelman, M. Tambe, S. Kakade, E. Malach. 12/10/2024. “Transcendence: Generative Models Can Outperform The Experts That Train Them.” In Conference on Neural Information Processing Systems (NeurIPS), December, 2024

Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, and Cleotilde Gonzalez. 11/21/2024. “Improving the prediction of individual engagement inrecommendations using cognitive models.” In HealthRecSys ’24 workshop co-located with ACM Recsys’24.

Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, and Milind Tambe. 11/15/2024. “IRL for Restless Multi-Armed Banditswith Applications in Maternal and Child Health.” In Pacific Rim International Conference on AI (PRICAI) 11/15/2024.

Lucia Gordon, Esther Rolf, and Milind Tambe. 10/1/2024. “Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents.” In European Conference on AI (ECAI).

Niclas Boehmer, Minbiao Han, Haifeng Xu, and Milind Tambe. 10/1/2024. “Escape Sensing Games: Detection-vs-Evasion in Security Applications.” In European Conference on AI (ECAI).

Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, and Milind Tambe. 8/16/2024. “Group Fairness in Predict-Then-Optimize Settings for Restless Bandits.” In Conference on Uncertainty in Artificial Intelligence (UAI).

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, and Milind Tambe. 8/3/2024. “Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization.” In International Joint Conference on Artificial Intelligence (IJCAI) 8/3/2024. Jeju Island, South Korea.

David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya Donti, Marzhey Ghasemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, and Adam White. 7/30/2024. “Position: Application-Driven Innovation in Machine Learning.” In International Conference on Machine Learning (ICML) 7/30/2024.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephen Zhang, David C Parkes, Milind Tambe, and Yiling Chen. 7/30/2024. “Position: Social Environment Design Should be Further Developed for AI-basedPolicy-Making.” In International Conference on Machine Learning (ICML).

Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, Aparna Hegde, Bryan Wilder, Milind Tambe, and Aparna Taneja. 5/5/2024. “Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs.” In AAMAS 2024 Workshop on Autonomous Agents for Social Good (AASG).

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, and Milind Tambe. 5/5/2024. “Towards Zero Shot Learning in Restless Multi-armed Bandits: Extended Abstract.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Auckland, New Zealand.

Lily Lee Xu. 5/3/2024. “High-stakes decisions from low-quality data: AI decision-making for planetary health.” Harvard University.

Sanket Shah, Arun Suggala, Milind Tambe, and Aparna Taneja. 5/1/2024. “Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Auckland, New Zealand.

Soumyabrata Pal, Milind Tambe, Arun Suggala, Karthikeyan Shanmugam, and Aparna Taneja. 5/1/2024. “Improving Mobile Maternal and Child Health Care Programs:Collaborative Bandits for Time slot selection.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, and Milind Tambe. 3/15/2024. “New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study.” JMIR Diabetes, 9.

Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, and Aparna Taneja. 2/28/2024. “Improving Health Information Access in the World’s Largest Maternal MobileHealth Program via Bandit Algorithms.” In Innovative Applications of Artificial Intelligence (IAAI).

Sanket Shah, Bryan Wilder, Andrew Perrault, and Milind Tambe. 2/20/2024. “Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize.” AAAI Conference on Artificial Intelligence (AAAI). Vancouver, BC.

2023

Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, and Aparna Taneja. 9/5/2023. “Expanding Impact of Mobile Health Programs: SAHELI for Maternal and Child Care.” AI magazine (to appear).

Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, and Milind Tambe. 8/2023. “Complex Contagion Influence Maximization: A Reinforcement Learning Approach.” In International Joint Conference on AI (IJCAI) 8/2023.

Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, and Milind Tambe. 8/2023. “Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.” International Joint Conference on Artificial Intelligence (IJCAI).

Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, and Milind Tambe. 8/2023. “Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.” Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI). Publisher’s Version

Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, and Aparna Taneja. 7/2023. “Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation.” In KDD workshop on Data Science for social good 7/2023.

Aditya Mate, Bryan Wilder, Aparna Taneja, and Milind Tambe. 7/2023. “Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation.” In International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii.

Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, and Boi Faltings. 6/1/2023. “AI-driven Prices for Externalities and Sustainability in Production Markets (Extended Abstract).” International Conference on Autonomous Agents and Multiagent Systems (AAMAS). London, United Kingdom.

Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, and Milind Tambe. 6/1/2023. “Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Kai Wang. 5/30/2023. “Integrating Machine Learning and Optimization with Applications in Public Health and Sustainability .” Harvard University.

Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwala, Aparna Hegde, Aparna Taneja, and Milind Tambe. 5/28/2023. “Restless Multi-Armed Bandits for Maternal and Child Health:Results from Decision-Focused Learning.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Abheek Ghosh, Dheeraj Nagraj, Manish Jain, and Milind Tambe. 5/27/2023. “Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Sanket Shah, Shresth Verma, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Aparna Taneja, and Milind Tambe. 5/24/2023. “Preliminary Results in Low-Listenership Prediction in One of theLargest Mobile Health Programs in theWorld.” In AAMAS 2023 workshop on Autonomous Agents for Social Good . Publisher’s Version.

Aditya Mate. 5/23/2023. “Actualizing Impact of AI in Public Health:Optimization of Scarce Health InterventionResources in the Real World.” Computer Science.

Jackson A. Killian. 5/2023. “Activity Allocation in an Under-Resourced World: Toward Improving Engagement with Public Health Programs via Restless Bandits”.

Kai Wang*, Lily Xu*, Aparna Taneja, and Milind Tambe. 2/14/2023. “Optimistic Whittle Index Policy: Online Learning for Restless Bandits.” AAAI Conference on Artificial Intelligence (AAAI).

Kai Wang*, Shresth Verma*, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, and Milind Tambe. 2/14/2023. “Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health.” AAAI Conference on Artificial Intelligence (AAAI).

Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantala, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, and Aparna Taneja. 2/10/2023. “Increasing Impact of Mobile Health Programs: SAHELI for Maternal and ChildCare.” In Innovative Applications of Artificial Intelligence (IAAI).

Jackson A. Killian*, Arpita Biswas*, Lily Xu*, Shresth Verma*, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, and Milind Tambe. 2/9/2023. “Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.” In AAAI Conference on Artificial Intelligence.

Paula Rodriguez Diaz, Jackson A Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, and Milind Tambe. 2/7/2023. “Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation.” In AAAI Conference on Artificial Intelligence (AAAI).

Jackson A. Killian, Arshika Lalan, Aditya Mate, Manish Jain, Aparna Taneja, and Milind Tambe. 2/2/2023. “Adherence Bandits.” AAAI AI4SG-23 Workshop.

Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, and Milind Tambe. 2/2/2023. “Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits.” In AAAI 2023 workshop on AI for Social Good (AI4SG).

Shresth Verma, Gargi Singh, Aditya Mate, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, and Aparna Taneja. 2/2/2023. “SAHELI for Mobile Health Programs in Maternal and Child Care: FurtherAnalysis.” In AAAI 2023 workshop on AI for Social Good (AI4SG).

E. Cranford, H. Ou, C. Gonzalez, M. Tambe, and C. Lebiere. 1/1/2023. “Accounting for Uncertainty in Deceptive Signaling for Cybersecurity.” In Hawaii International Conference on System Sciences.

Elizabeth Bondi-Kelly, Haipeng Chen, Christopher Golden, Nikhil Behari, and Milind Tambe. 2023. “Predicting Micronutrient Deficiency with Publicly Available Satellite Data.” AI magazine (to appear).

Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, and Milind Tambe. 2023. “Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks.” In Conference on Decision and Game Theory for Security. Avignon: Springer.

2022

Shresth Verma, Aditya Mate, Kai Wang, Aparna Taneja, and Milind Tambe. 12/10/2022. “Case Study: Applying Decision Focused Learning inthe RealWorld.” In NeurIPS 2022 workshop on Trustworthy and Socially Responsible Machine Learning.

Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, and Milind Tambe. 12/2022. “Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses.” In Conference on Neural Information Processing Systems (NeurIPS). Vol. 36. New Orleans.

Aditya Mate. 10/16/2022. “Optimization and Planning of Limited Resources for Assisting Non-Profits in Improving Maternal and Child Health.” INFORMS Doing Good with Good OR.

Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, and Yevgeniy Vorobeychik. 8/2022. “Solving Structured Hierarchical Games Using Differential Backward Induction.” In Conference on Uncertainty in Artificial Intelligence (UAI). Eindhoven, Netherlands.

Jackson A. Killian, Lily Xu, Arpita Biswas, and Milind Tambe. 8/2022. “Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning.” In Uncertainty in Artificial Intelligence (UAI).

Lily Xu, Arpita Biswas, Fei Fang, and Milind Tambe. 7/23/2022. “Ranked Prioritization of Groups in Combinatorial Bandit Allocation.” International Joint Conference on Artificial Intelligence (IJCAI) 31. Vienna, Austria.

E. Cranford, S. Jabbari, H-C. Ou, M. Tambe, C. Gonzalez, and C. Lebiere. 7/2022. “Combining Machine Learning and Cognitive Models for Adaptive Phishing Training.” In Internation Conference on Cognitive Modeling (ICCM).

Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, and Ayan Mukhopadhyay. 7/2022. “ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria.” In International Joint Conference on AI (IJCAI) 7/2022.

Adam Żychowski, Jacek Mańdziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, and Balaraman Ravindran. 7/2022. “Evolutionary Approach to Security Games with Signaling.” International Joint Conference on AI (IJCAI) 7/2022.

Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, and Milind Tambe. 5/2022. “Efficient Algorithms for Finite Horizon and Streaming RestlessMulti-Armed Bandit Problems.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Han-Ching Ou*, Christoph Siebenbrunner*, Jackson Killian, Meredith B Brooks, David Kempe, Yevgeniy Vorobeychik, and Milind Tambe. 5/2022. “Networked Restless Multi-Armed Bandits for Mobile Interventions.” In 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022). Online.

Aida Rahmattalabi. 4/26/2022. “Towards Trustworthy and Data-Driven Social Interventions.” PhD Thesis, Computer Science, University of Southern California.

Han-Ching Ou. 3/31/2022. “Sequential Network Planning Problems for Public Health Applications.” PhD Thesis, Computer Science, Harvard University.

Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, and Milind Tambe. 2/22/2022. “Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games.” In AAAI Conference on Artificial Intelligence.

Elizabeth Bondi, Haipeng Chen, Christopher Golden, Nikhil Behari, and Milind Tambe. 2/20/2022. “Micronutrient Deficiency Prediction via Publicly Available Satellite Data.” In Innovative Applications of Artificial Intelligence (IAAI).

Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, and Milind Tambe. 2/15/2022. “Facilitating Human-Wildlife Cohabitation through Conflict Prediction.” Innovative Applications of Artificial Intelligence.

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, and Milind Tambe. 2/15/2022. “Using Public Data to Predict Demand for Mobile Health Clinics.” In The 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) .

Aditya Mate*, Lovish Madaan*, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, and Milind Tambe. 2/2022. “Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health.” In AAAI Conference on Artificial Intelligence. Vancouver, Canada.

Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, and Milind Tambe. 2022. “Micronutrient Deficiency Prediction via Publicly Available Satellite Data.” In IAAI.

Elizabeth Carolyn Bondi-Kelly. 2022. “Translating AI to Impact: Uncertainty and Human-Agent Interactions in Multi-Agent Systems for Public Health and Conservation”.

2021

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, and Milind Tambe. 12/2021. “Demand prediction of mobile clinics using public data.” In In MLPH: Machine Learning in Public Health NeurIPS 2021 Workshop.

Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, and Milind Tambe. 12/2021. “Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning.” In NeurIPS 2021 (spotlight).

Aditya Mate*, Lovish Madaan*, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, and Milind Tambe. 12/2021. “Restless Bandits in the Field: Real-World Study for Improving Maternal and Child Health Outcomes.” In MLPH: Machine Learning in Public Health NeurIPS 2021 Workshop.

Lily Xu. 10/24/2021. “Learning, Optimization, and Planning Under Uncertainty for Wildlife Conservation.” INFORMS Doing Good with Good OR.

Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Dhyanesh Narayanan, and Milind Tambe. 10/5/2021. “Measuring Data Collection Diligence for Community Healthcare.” In ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21).

Lily Xu. 8/21/2021. “Learning and Planning Under Uncertainty for Green Security.” 30th International Joint Conference on Artificial Intelligence (IJCAI).

Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, and Milind Tambe. 8/2021. “Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare.” In International Joint Conference on Artificial Intelligence (IJCAI).

Jackson A Killian, Arpita Biswas, Sanket Shah, and Milind Tambe. 8/2021. “Q-Learning Lagrange Policies for Multi-Action Restless Bandits.” Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, and Milind Tambe. 7/27/2021. “Robust Reinforcement Learning Under Minimax Regret for Green Security.” Conference on Uncertainty in Artificial Intelligence (UAI).

Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, and Milind Tambe. 7/25/2021. “Contingency-Aware Influence Maximization: A Reinforcement Learning Approach.” In Conference on Uncertainty in Artificial Intelligence.

Bryan Wilder. 7/15/2021. “AI for Population Health: Melding Data and Algorithms on Networks.” PhD Thesis, Computer Science, Harvard University.

Edward Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Milind Tambe, Sarah Cooney, and Christian Lebiere. 7/7/2021. “Towards a Cognitive Theory of Cyber Deception.” Cognitive Science. Publisher’s Version

Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, and Himabindu Lakkaraju. 7/1/2021. “Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.” Proceedings of the 38th International Conference on Machine Learning. Virtual Only. Publisher’s Version

Elizabeth Bondi, Catherine Ressijac, and Peter Boucher. 6/25/2021. “Preliminary Detection of Rhino Middens for Understanding Rhino Behavior.” CVPR 2021 Workshop on Computer Vision for Animal Behavior Tracking and Modeling.

Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung-Jae Lee, and Milind Tambe. 6/21/2021. “A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV among Youth Experiencing Homelessness.” to appear in the Journal of Acquired Immune Deficiency Syndrome (JAIDS).

Arpita Biswas and Suvam Mukherjee. 5/19/2021. “Ensuring Fairness under Prior Probability Shifts.” In AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES). AAAI/ACM.

Elizabeth Bondi*, Lily Xu*, Diana Acosta-Navas, and Jackson A. Killian. 5/19/2021. “Envisioning Communities: A Participatory Approach Towards AI for Social Good.” In AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES).

Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, and Milind Tambe. 5/7/2021. “Learning Index Policies for Restless Bandits with Application to Maternal Healthcare (Extended abstract).” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Aditya Mate, Andrew Perrault, and Milind Tambe. 5/7/2021. “Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits.” In 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). London, UK.

Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, and Milind Tambe. 5/5/2021. “Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.” In 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, and Milind Tambe. 5/5/2021. “Robustness in Green Security: Minimax Regret Optimality with Reinforcement Learning.” AAMAS Workshop on Autonomous Agents for Social Good.

Siddhart Nisthala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwala, Ramesh Padhmanabhan, Aparna Hegde, Pradeep Varakantham, Balaram Ravindran, and Milind Tambe. 5/5/2021. “Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.” In AAMAS workshop on Autonomous Agents for social good.

Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael Wellman, and Yevgeniy Vorobeychik. 5/1/2021. “A Game-Theoretic Approach for Hierarchical Policy-Making.” 2nd International (Virtual) Workshop on Autonomous Agents for Social Good (AASG 2021). Publisher’s Version

Jackson A Killian, Andrew Perrault, and Milind Tambe. 5/2021. “Beyond ‘To Act or Not to Act‘: Fast Lagrangian Approaches to General Multi-Action Restless Bandits.” In 20th International Conference on Autonomous Agents and Multiagent Systems.

Alok Talekar, Sharad Shriram, Nidhin Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srini Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, and Milind Tambe. 5/2021. “Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway.” In 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) as a Short Paper). Publisher’s Version

Kai Wang, Jeffrey Brantingham, and Milind Tambe. 5/2021. “Learning Opportunistic Adversarial Model on Global Wildlife Trade.” In AAMAS Autonomous Agents for Social Good Workshop (AASG).

Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, and Milind Tambe. 2/2021. “Dual-Mandate Patrols: Multi-Armed Bandits for Green Security.” In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21).

Aida Rahmattalabi *, Shahin Jabbari *, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. 2/2021. “Fair Influence Maximization: A Welfare Optimization Approach.” AAAI Conference on Artificial Intelligence 2/2021.

Jackson A Killian, Andrew Perrault, and Milind Tambe. 1/2021. “Beyond “To Act or Not to Act”: Fast Lagrangian Approaches to General Multi-Action Restless Bandits (Short version).” In IJCAI 2020 AI for Social Good workshop.

Han-Ching Ou, Haipeng Chen, Shahin Jabbari, and Milind Tambe. 2021. “Active Screening for Recurrent Diseases: A Reinforcement Learning Approach.” In In 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). London, UK.

Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, and Milind Tambe. 2021. “Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness.” In AAAI Conference on Artificial Intelligence.

Nikhil Behari, Elizabeth Bondi, Christopher D. Golden, Hervet J. Randriamady, and Milind Tambe. 2021. “Satellite-Based Food Market Detection for Micronutrient Deficiency Prediction.” 5th International Workshop on Health Intelligence (W3PHIAI-21) at AAAI.

Anika Puri and Elizabeth Bondi. 2021. “Space, Time, and Counts: Improved Human vs Animal Detection in Thermal Infrared Drone Videos for Prevention of Wildlife Poaching” Fragile Earth (FEED) Workshop at KDD 2021.

Bryan Wilder, Michael Mina, and Milind Tambe. 2021. “Tracking disease outbreaks from sparse data with Bayesian inference.” In AAAI Conference on Artificial Intelligence.

2020

Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, and Milind Tambe. 12/12/2020. “Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery”.

Xinrun Wang, Tarun Nair, Haoyang Li, Rueben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, and Milind Tambe. 12/6/2020. “Efficient Reservoir Management throughDeep Reinforcement Learning.” In NeuriPS2020 workshop on AI for Earth Sciences.

Kai Wang, Bryan Wilder, Andrew Perrault, and Milind Tambe. 12/5/2020. “Automatically Learning Compact Quality-aware Surrogates for Optimization Problems.” In NeurIPS 2020 (spotlight). Vancouver, Canada.

Aditya Mate*, Jackson A. Killian*, Haifeng Xu, Andrew Perrault, and Milind Tambe. 12/5/2020. “Collapsing Bandits and Their Application to Public Health Interventions.” In Advances in Neural and Information Processing Systems (NeurIPS) 12/5/2020. Vancouver, Canada. Publisher’s Version

Aviva Prins, Aditya Mate, Jackson A Killian, Rediet Abebe, and Milind Tambe. 12/2020. “Incorporating Healthcare Motivated Constraints in Restless Bandit Based Resource Allocation.” NeurIPS 2020 Workshops: Challenges of Real World Reinforcement Learning, Machine Learning in Public Health (Best Lightning Paper), Machine Learning for Health (Best on Theme), Machine Learning for the Developing World.

Ankit Bhardwaj*, Han Ching Ou*, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, and Alpan Raval. 11/2020. “Robust Lock-Down Optimization for COVID-19 Policy Guidance.” In AAAI Fall Symposium.

Daniel B. Larremore, Bryan Wilder, Evan Lester, Soraya Shehata, James M. Burke, James A. Hay, Milind Tambe, Michael J. Mina, and Roy Parker. 11/2020. “Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening.” Science Advances. Publisher’s Version

Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal, Cleotilde Gonzalez, Milind Tambe, and Phebe Vayanos. 10/2020. “Exploiting Bounded Rationality in Risk-based Cyber Camouflage Games.” Conference on Decision and Game Theory for Security.

Palvi Aggarwal, Omkar Thakoor, Aditya Mate, Milind Tambe, Edward A. Cranford, Christian Lebiere, and Cleotilde Gonzalez. 10/2020. “An Exploratory Study of a Masking Strategy of Cyberdeception Using CyberVAN.” In 64th Human Factors and Ergonomics Society (HFES) Annual Conference.

Jackson A. Killian, Aditya Mate, Haifeng Xu, Andrew Perrault, and Milind Tambe. 10/2020. “Personalized Adherence Management in TB: Using AI to Schedule Targeted Interventions.” 51st Union World Conference on Lung Health – Accepted Oral Abstract.

Bryan Wilder, Marie Charpignon, Jackson A Killian, Han-Ching Ou, Aditya Mate, Shahin Jabbari, Andrew Perrault, Angel Desai, Milind Tambe, and Maimuna S. Majumder. 9/24/2020. “Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City.” Proceedings of the National Academy of Sciences. Publisher’s Version

Anthony Fulgianti, Avi Segal, Jennifer Wilson, Chyna Hill, Milind Tambe, Carl Castro, and Eric Rice. 8/31/2020. “Getting to the root of the problem: A decision-tree analysis for suicide risk among young people experiencing homelessness.” Journal of the Society for Social Work and Research, (to appear).

Jackson A. Killian, Marie Charpignon, Bryan Wilder, Andrew Perrault, Milind Tambe, and Maimuna S. Majumder. 8/24/2020. “Evaluating COVID-19 Lockdown and Business-Sector-Specific Reopening Policies for Three US States.” In KDD 2020 Workshop on Humanitarian Mapping. Publisher’s Version

Aditya Mate, Jackson A. Killian, Bryan Wilder, Marie Charpignon, Ananya Awasthi, Milind Tambe, and Maimuna S. Majumder. 8/2020. “Evaluating COVID-19 Lockdown Policies for India: A Preliminary Modeling Assessment for Individual States.” KDD 2020 Workshop on Humanitarian Mapping.

Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, and Christian Lebiere. 7/30/2020. “Toward Personalized Deceptive Signaling for CyberDefense Using Cognitive Models.” Topics in Cognitive Science, 12, 3, Pp. 992-1011. Publisher’s Version

Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Aparna Hegde, Ramesh Padmanabhan, Neha Madhiwala, Suresh Chaudhary, Balaram Ravindran, and Milind Tambe. 7/23/2020. “Missed calls, Automated Calls and Health Support: Using AI to improve maternalhealth outcomes by increasing program engagement.” In Harvard CRCS workshop on AI for Social Good.

Lily Xu, Andrew Perrault, Andrew Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, and Milind Tambe. 7/20/2020. “Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers.” Harvard CRCS Workshop on AI for Social Good. Publisher’s Version

Lindsay Young, Jerome Mayaud, Sze-Chuan Suen, Milind Tambe, and Eric Rice. 7/7/2020. “Modeling the dynamism of HIV information diffusion in multiplex networks of homeless youth.” Social Networks, 63, Pp. 112-121.

Daniel B Larremore, Bryan Wilder, Evan Lester, Soraya Shehata, James M Burke, James A Hay, Milind Tambe, Michael J Mina, and Roy Parker. 6/25/2020. “Surveillance testing of SARS-CoV-2.” medRxiv. Publisher’s Version

Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, and Milind Tambe. 6/16/2020. “Fair Influence Maximization: A Welfare Optimization Approach.” In AAAI 2020 Workshop on Health Intelligence, preliminary version.

Aniruddha Adiga, Lijing Wang, Adam Sadilek, Ashish Tendulkar, Srinivasan Venkatramanan, Anil Vullikanti, Gaurav Aggarwal, Alok Talekar, Xue Ben, Jiangzhuo Chen, Bryan Lewis, Samarth Swarup, Milind Tambe, and Madhav Marathe. 6/5/2020. “Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics”. Publisher’s Version

Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, and Milind Tambe. 5/9/2020. “Who and When to Screen Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-20).

Lily Xu*, Shahrzad Gholami *, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, and Eric Enyel. 4/20/2020. “Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.” In IEEE International Conference on Data Engineering (ICDE-20).

Aditya Mate, Jackson A. Killian, Bryan Wilder, Marie Charpignon, Ananya Awasthi, Milind Tambe, and Maimuna S. Majumder. 4/13/2020. “Evaluating COVID-19 Lockdown Policies For India: A Preliminary Modeling Assessment for Individual States.” SSRN. Publisher’s Version

Aida Rahmattalabi *, Shahin Jabbari *, Phebe Vayanos, Himabindu Lakkaraju, and Milind Tambe. 2/2/2020. “Fairness in Time-Critical Influence Maximizationwith Applications to Public Health Preventative Interventions.” In AAAI Health Intelligence Workshop.

Edward A. Cranford, Palvi Aggarwal, Cleotilde Gonzalez, Sarah Cooney, Milind Tambe, and Christian Lebiere. 2020. “Adaptive Cyber Deception: Cognitively Informed Signaling for Cyber Defense.” In 53rd Hawaii International Conference on System Sciences, Pp. 1885-1894.

Andrew Perrault, Fei Fang, Arunesh Sinha, and Milind Tambe. 2020. “AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline.” AI Magazine.

Kai Wang. 2020. “Balance Between Scalability and Optimality in Network Security Games.” In Doctoral Consortium at International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).

Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, and Milind Tambe. 2020. “BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.” In WACV.

Shahin Jabbari, Han-Ching Ou, Himabindu Lakkaraju, and Milind Tambe. 2020. “An Empirical Study of the Trade-Offs Between Interpretability and Fairness.” In ICML 2020 Workshop on Human Interpretability in Machine Learning, preliminary version.

Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, and Milind Tambe. 2020. “End-to-End Game-Focused Learning of Adversary Behavior in Security Games.” AAAI Conference on Artificial Intelligence. New York.

Ilkin Bayramli, Elizabeth Bondi, and Milind Tambe. 2020. “In the Shadow of Disaster: Finding Shadows to Improve Damage Detection.” Harvard CRCS Workshop on AI for Social Good.

Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, and Milind Tambe. 2020. “Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling.” In International Conference on Autonomous Agents and Multiagent Systems.

Elizabeth Bondi, Andrew Perrault, Fei Fang, Benjamin L. Rice, Christopher D. Golden, and Milind Tambe. 2020. “Mapping for Public Health: Initial Plan for Using Satellite Imagery for Micronutrient Deficiency Prediction.” KDD 2020 Workshop on Humanitarian Mapping.

Aaron Ferber, Bryan Wilder, Bistra Dilkina, and Milind Tambe. 2020. “MIPaaL: Mixed Integer Program as a Layer.” In AAAI Conference on Artificial Intelligence.

Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, and Yevgeniy Vorobeychik. 2020. “Robust Spatial-Temporal Incident Prediction.” Conference on Uncertainty in Artificial Intelligence (UAI). Toronto.

Kai Wang, Andrew Perrault, Aditya Mate, and Milind Tambe. 2020. “Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games.” In International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).

Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, and Milind Tambe. 2020. “Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning.” AAAI Conference on Artificial Intelligence. New York.

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, and Milind Tambe. 2020. “To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability.” In AAAI conference on Artificial Intelligence.

Elizabeth Bondi. 2020. “Vision for Decisions: Utilizing Uncertain Real-Time Information and Signaling for Conservation.” In AAMAS Doctoral Consortium.

Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Milind Tambe, and Christian Lebiere. 2020. “What Attackers Know and What They Have to Lose: Framing Effects on Cyber-attacker Decision Making.” In 64th Human Factors and Ergonomics Society (HFES) Annual Conference.

2019

Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, and Milind Tambe. 8/4/2019. “Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.” In The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 8/4/2019.

Elizabeth Bondi. 2019. “Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development .” In International Conference on Autonomous Agents and Multiagent Systems (Doctoral Consortium) (AAMAS-19).

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, and Milind Tambe. 2019. “Broken Signals in Security Games: Coordinating Mobile Patrollers and Sensors in the Real World (Extended Abstract).” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19).

Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, and Fei Feng. 2019. “Cyber Camouflage Games for Strategic Deception.” In Conference on Decision and Game Theory for Security, 2019.

Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, and Milind Tambe. 2019. “Decision-Focused Learning of Adversary Behavior in Security Games.” In GAIW: Games, Agents and Incentives Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19).

Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, and Milind Tambe. 2019. “Deep Fictitious Play for Games with Continuous Action Spaces .” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19).

Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, and Milind Tambe. 2019. “DeepFP for Finding Nash Equilibrium in Continuous Action Spaces .” In Conference on Decision and Game Theory for Security, 2019.

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, and Milind Tambe. 2019. “Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19).

Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, and Christopher Kiekintveld. 2019. “General-Sum Cyber Deception Games under Partial Attacker Valuation Information.” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19).

Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, and Yair Zick. 2019. “Group-Fairness in Influence Maximization .” In International Joint Conference on Artificial Intelligence (IJCAI) 2019.

Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, and Milind Tambe. 2019. “Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.” In The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019.

Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, and Bo An. 2019. “On the Inducibility of Stackelberg Equilibrium for Security Games .” In AAAI conference on Artificial Intelligence (AAAI-19).

Bryan Wilder, Jackson A. Killian, Amit Sharma, Vinod Choudhary, Bistra Dilkina, and Milind Tambe. 2019. “Integrating optimization and learning to prescribe interventions for tuberculosis patients .” In 10th International Workshop on Optimization in Multiagent Systems (OptMAS).

Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, and Milind Tambe. 2019. “Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games .” In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML-PKDD), 2019.

Bryan Wilder, Bistra Dilkina, and Milind Tambe. 2019. “Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization .” In AAAI conference on Artificial Intelligence (AAAI-19).

Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jefferey Brantingham, and Milind Tambe. 2019. “Mobile Game Theory with Street Gangs.” In The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019.

Shahrzad Gholami. 2019. “Predicting and Planning against Real-world Adversaries: An End-to-end Pipeline to Combat Illegal Wildlife Poachers on a Global Scale”.

Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, and Milind Tambe. 2019. “Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks .” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19).

Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, and Christian Lebiere. 2019. “Towards Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models .” In International Conference on Cognitive Modeling (ICCM), 2019.

Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, and Milind Tambe. 2019. “Using Game Theory in Real Time in the Real World: A Conservation Case Study (Demonstration) .” In International Conference on Autonomous Agents and Multiagent Systems (Demonstration) (AAMAS-19).

Kai Wang, Aditya Mate, Bryan Wilder, Andrew Perrault, and Milind Tambe. 2019. “Using Graph Convolutional Networks to Learn Interdiction Games .” In AI for Social Good workshop (AI4SG) at International Joint Conference on Artificial Intelligence (IJCAI) 2019.

Elizabeth Bondi. 2019. “Visionary Security: Using Uncertain Real-Time Information in Signaling Games .” In International Joint Conference on Artificial Intelligence (IJCAI) 2019 (Doctoral Consortium).

Sarah Cooney, Phebe Vayanos, Thanh H. Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, and Milind Tambe. 2019. “Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries.” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19).

Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, and Milind Tambe. 2019. “Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty .” In Joint Workshop on Autonomous Agents for Social Good (AASG) at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19).

Bryan Wilder, Eric Ewing, Bistra Dilkina, and Milind Tambe. 2019. “End to End Learning and Optimization on Graphs.” In Advances in Neural and Information Processing Systems (NeurIPS-19), 2019.

Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, and Milind Tambe. 2019. “Exploring Algorithmic Fairness in Robust Graph Covering Problems.” In . Advances in Neural and Information Processing Systems (NeurIPS-19), 2019.

Aida Rahmattalabi, Anamika Barman Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, and Robin Baker. 2019. “Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study).” In Strategic Reasoning for Societal Challenges (SRSC) Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19).

Xinrun Wang, Milind Tambe, Branislav Boˇsansky ́, and Bo An. 2019. “When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games.” In . Conference on Decision and Game Theory for Security, 2019.

2018

Aaron Schlenker. 8/2018. “Game Theoretic Deception and Threat Screening for Cyber Security ”.

Haifeng Xu. 8/2018. “Information as a Double-Edged Sword in Strategic Interactions ”.

Sara Marie Mc Carthy. 8/2018. “Hierarchical Planning in Security Games; A Game Theoretic Approach to Strategic, Tactical and Operational Decision Making”.

Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe. 6/20/2018. “AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.” In In COMPASS ’18: ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS), June 20–22, 2018, . Menlo Park and San Jose, CA, USA. ACM, New York, NY, USA.

Amulya Yadav. 4/2018. “Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World ”.

Elizabeth Bondi. 2018. “AI for Conservation: Aerial Monitoring to Learn and Plan Against Illegal Actors .” In International Joint Conference on Artificial Intelligence (IJCAI-18) (Doctoral Consortium).

Bryan Wilder and Yevgeniy Vorobeychik. 2018. “Controlling Elections through Social Influence.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, and Yevgeniy Vorobeychik. 2018. “Deceiving Cyber Adversaries: A Game Theoretic Approach .” In .

Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, and Milind Tambe. 2018. “Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources.” In International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research.

Bryan Wilder. 2018. “Equilibrium Computation and Robust Optimization in Zero Sum Games with Submodular Structure .” In AAAI conference on Artificial Intelligence (AAAI-18).

Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, and Bo An. 2018. “Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, and Matthew Morton. 2018. “From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth .” In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD).

Han-Ching Ou, Milind Tambe, Bistra Dilkina, and Phebe Vayanos. 2018. “Imbalanced Collusive Security Games .” In Conference on Decision and Game Theory for Security (GameSec).

Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, and Bo An. 2018. “Inducible Equilibrium for Security Games (Extended Abstract) .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18) [short paper].

Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, and Milind Tambe. 2018. “Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games .” In Annual meeting of the Cognitive Science Society (CogSci).

Eric Rice, Monique Holguin, Hsun-Ta Hsu, Matthew Morton, Phebe Vayanos, Milind Tambe, and Hau Chan. 2018. “Linking Homelessness Vulnerability Assessments to Housing Placements and Outcomes for Youth .” Cityscape: A Journal of Policy Development and Research, Volume 20, Number 3, 20, 3.

Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe. 2018. “Near Real-Time Detection of Poachers from Drones in AirSim .” In International Joint Conference on Artificial Intelligence (IJCAI-18).

Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, and Yan Liu. 2018. “Partially Generative Neural Networks for Gang Crime Classification with Partial Information.” In International Conference on AAAI ACM conference on AI, Ethics and Society (AIES).

Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, and Milind Tambe. 2018. “Policy Learning for Continuous Space Security Games using Neural Networks .” In AAAI conference on Artificial Intelligence (AAAI-18).

Bryan Wilder, Sze-Chuan Suen, and Milind Tambe. 2018. “Preventing Infectious Disease in Dynamic Populations Under Uncertainty .” In AAAI conference on Artificial Intelligence (AAAI-18).

Sara Marie Mc Carthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, and Milind Tambe. 2018. “The Price of Usability: Designing Operationalizable Strategies for Security Games .” In 27th International Joint Conference on Artificial Intelligence (IJCAI).

Bryan Wilder. 2018. “Risk-Sensitive Submodular Optimization .” In AAAI conference on Artificial Intelligence (AAAI-18).

Aida Rahmattalabi, Phebe Vayanos, and Milind Tambe. 2018. “A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games .” In Conference on Decision and Game Theory for Security (GameSec).

Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, and Milind Tambe. 2018. “Scaling-up Stackelberg Security Games Applications using Approximations.” In Conference on Decision and Game Theory for Security (GameSec).

Haifeng Xu, Kai Wang, Phebe Vayanos, and Milind Tambe. 2018. “Strategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games .” In AAAI conference on Artificial Intelligence (AAAI-18).

Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, and Milind Tambe. 2018. “Activating the ‘Breakfast Club’: Modeling Influence Spread in Natural-World Social Networks.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, and Aggrey Rwetsiba. 2018. “Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers (Corrected Version).” In International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2018).

Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, and Darlene Woo. 2018. “Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth.” In International Joint Conference on Artificial Intelligence (IJCAI).

Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, and Eric Rice. 2018. “End-to-End Influence Maximization in the Field.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Bryan Wilder, Nicole Immorlica, Eric Rice, and Milind Tambe. 2018. “Maximizing Influence in an Unknown Social Network.” In AAAI conference on Artificial Intelligence (AAAI-18).

Haifeng Xu, Shaddin Dughmi, Milind Tambe, and Venil Loyd Noronha. 2018. “Mitigating the Curse of Correlation in Security Games by Entropy Maximization (Extended Abstract).” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Bryan Wilder, Han Ching Ou, Kayla de la Haye, and Milind Tambe. 2018. “Optimizing network structure for preventative health.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Eric Rice, Amanda Yoshioka-Maxwell, Robin Petering, Laura Onasch-Vera, Jaih Craddock, Milind Tambe, Amulya Yadav, Bryan Wilder, Darlene Woo, Hailey Winetrobe, and Nicole Wilson. 2018. “Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness.” Journal of the Society for Social Work and Research, Volume 9, Number 4., 9, 4.

Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Marcolino, and Milind Tambe. 2018. “Please be an influencer? Contingency Aware Influence Maximization.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18).

Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Jopp, Milind Tambe, and Ram Nevatia. 2018. “SPOT Poachers in Action: Augmenting Conservation Drones with Automatic Detection in Near Real Time.” Proceedings of the Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-18).

Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, and Milind Tambe. 2018. “Stackelberg Security Games: Looking Beyond a Decade of Success.” In International Joint Conference on Artificial Intelligence (IJCAI).

2017

Debarun Kar, Subhasree Sengupta, Ece Kamar, Eric Horvitz, and Milind Tambe. 2017. “Believe It or Not: Modeling Adversary Belief Formation in Stackelberg Security Games with Varying Information .” In Advances in Cognitive Systems.

A Schlenker, H Xu, M Guirguis, C Kiekintveld, A Sinha, M Tambe, S Sonya, D Balderas, and N Dunstatter. 2017. “Don’t Bury your Head inWarnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts .” In International Joint Conference on Artificial Intelligence (IJCAI).

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, and Milind Tambe. 2017. “Every Team Deserves a Second Chance An extended study on predicting team performance .” Journal of Agents and Multiagent Systems (JAAMAS) (To appear).

Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, and Matthew Morton. 2017. “Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth .” Proc. of AAAI Fall Symposium Series on Cognitive Assistance in Government and Public Sector Applications, 2017.

Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, and Milind Tambe. 2017. “Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences.” AI Magazine (To appear).

Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, and Joshua Mabonga. 2017. “Optimal Patrol Planning for Green Security Games with Black-Box Attackers .” In Conference on Decision and Game Theory for Security (GameSec) 2017.

F. Fang, T. H. Nguyen, A. Sinha, S. Gholami, A. Plumptre, L. Joppa, M. Tambe, M. Driciru, F. Wanyama, A. Rwetsiba, R. Critchlow, and C. M. Beale. 2017. “Predicting Poaching for Wildlife Protection.” IBM Journal of Research and Development (To appear).

Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, and Milind Tambe. 2017. “Robust, dynamic influence maximization.” In AAMAS International Workshop on Optimization in Multi-Agent Systems (OPTMAS).

Sara Marie Mc Carthy, Phebe Vayanos, and Milind Tambe. 2017. “Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources .” In International Joint Conference on Artificial Intelligence (IJCAI).

A Schlenker, H Xu, C Kiekintveld, A Sinha, M Tambe, M Guirguis, S Sonya, D Balderas, and N Dunstatter. 2017. “Towards a Game-theoretic Framework for Intelligent Cyber-security Alert Allocation .” In .

A. Yadav, H. Chan, A.X. Jiang, H. Xu, E. Rice, R. Petering, and M. Tambe. 2017. “Using Social Networks to Raise HIV Awareness Among Homeless Youth .” IBM Journal of Research and Development (To appear).

Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, and Aggrey Rwetsiba. 2017. “Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, and Venil Loyd Noronha. 2017. “Explanations Systems for Influential Maximizations Algorithms.” In 3rd International Workshop on Social Influence Analysis.

Nitin Kamra, Fei Fang, Debarun Kar, Yan Liu, and Milind Tambe. 2017. “Handling Continuous Space Security Games with Neural Networks.” In In IWAISe-17: 1st International Workshop on A.I. in Security held at the International Joint Conference on Artificial Intelligence.

Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, and Darlene Woo. 2017. “Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application.” In International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).

Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, and Milind Tambe. 2017. “Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information.” In International Joint Conference on Artificial Intelligence (IJCAI).

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, and Andrew Lemieux. 2017. “PAWS: A Deployed Game-Theoretic Application to Combat Poaching.” AI Magazine 38(1):23-36.

Benjamin Ford. 2017. “Real-World Evaluation and Deployment of Wildlife Crime Prediction Models”.

S Gholami, B Ford, F Fang, A Plumptre, M Tambe, M Driciru, F Wanyama, A Rwetsiba, M Nsubaga, and J Mabonga. 2017. “Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test.” In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017 Applied Data Science Track).

Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, and Milind Tambe. 2017. “Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network.” In International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).

Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, and Robert Hannaford. 2017. “VIOLA: Video Labeling Application for SecurityDomains.” In Conference on Decision and Game Theory for Security (GameSec) 2017.

Debarun Kar. 2017. “When AI helps Wildlife Conservation: Learning Adversary Behaviors in Green Security Games”.

2016

Thanh H. Nguyen, Arunesh Sinha, and Milind Tambe. 2016. “Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols .” In ParSocial Workshop 2016.

Yasaman Dehghani Abbasi, Nicole Sintov, Milind Tambe, Cleotilde Gonzalez, Don Morrison, and Noam Ben-Asher. 2016. “Adversaries Wising Up: Modeling Heterogeneity and Dynamics of Behavior .” In International Conference on Cognitive Modeling(ICCM).

Thanh Hong Nguyen. 2016. “Combating Adversaries under Uncertainties in Real-world Security Problems: Advanced Game-theoretic Behavioral Models and Robust Algorithms ”.

Debarun Kar, Fei Fang, Francesco M. Delle Fave, Nicole Sintov, Milind Tambe, and Arnaud Lyet. 2016. “Comparing Human Behavior Models in Stackelberg Security Games: An Extended Study .” In Artificial Intelligence Journal (AIJ), Elsevier, DOI. Publisher’s Version

2016. “Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust based Algorithm .” In 30th AAAI Conference on Artificial Intelligence (AAAI) (Student Abstract).

Sara Marie Mc Carthy, Arunesh Sinha, Milind Tambe, and Pratyusa Manadhata. 2016. “Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks .” In Decision and Game Theory for Security (GameSec 2016).

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, and Milind Tambe. 2016. “Deploying PAWS to Combat Poaching: Game-theoretic Patrolling in Areas with Complex Terrains (Demonstration).” In .

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, and Milind Tambe. 2016. “Divide to Defend: Collusive Security Games .” In Conference on Decision and Game Theory for Security (GameSec 2016).

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, and Milind Tambe. 2016. “An Extended Study on Addressing Defender Teamwork while Accounting for Uncertainty in Attacker Defender Games using Iterative Dec-MDPs .” Multiagent and Grid Systems (MAGS) Journal.

Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, and Milind Tambe. 2016. “From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences .” In Symposium on Educational Advances in Artificial Intelligence (EAAI) 2016.

Andrew Plucker. 2016. “The Future of Counterinsurgency Modeling: Decision Aids for United States Army Commanders ”.

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole Sintov, and Milind Tambe. 2016. “A Game Theoretic Approach on Addressing Collusion among Human Adversaries .” In Workshop on security and multiagent systems, International conference on Autonomous Agents and Multiagent Systems (AAMAS).

Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, and Ruta Mehta. 2016. “Get Me to My GATE On Time: Efficiently Solving General-Sum Bayesian Threat Screening Games .” In 22nd European Conference on Artificial Intelligence (ECAI).

Yundi Qian. 2016. “Handling Attacker’s Preference in Security Domains: Robust Optimization and Learning Approaches ”.

G. R. Martins, M. Escarce Junior, and L. S. Marcolino. 2016. “A Hands-on Musical Experience in AI, Games and Art (Demonstration) .” In 30th AAAI Conference on Artificial Intelligence (AAAI 2016).

Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, and Milind Tambe. 2016. “Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals .” Games Journal.

Arunesh Sinha, Debarun Kar, and Milind Tambe. 2016. “Learning Adversary Behavior in Security Games: A PAC Model Perspective .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Yasaman Dehghani Abbasi. 2016. “Modeling Human Bounded Rationality in Opportunistic Security Games ”.

L. S. Marcolino, H. Xu, D. Gerber, B. Kolev, S. Price, E. Pantazis, and M. Tambe. 2016. “Multi-agent Team Formation for Design Problems .” In Coordination, Organizations, Institutions and Norms in Agent Systems XI. Springer-Verlag Lecture Notes in AI.

Haifeng Xu. 2016. “The Mysteries of Security Games: Equilibrium Computation Becomes Combinatorial Algorithm Design .” In The 17 ACM Conference on Economics and Computation (ACM-EC).

Matthew Brown, Arunesh Sinha, Aaron Schlenker, and Milind Tambe. 2016. “One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats .” In AAAI conference on Artificial Intelligence (AAAI).

Chao Zhang. 2016. “Opportunistic Crime Security Games: Assisting Police to Control Urban Crime Using Real World Data ”.

Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, and Paul Speer. 2016. “Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model .” In Decision and Game Theory for Security (GameSec 2016).

Haifeng Xu, Long Tran Thanh, and Nick Jennings. 2016. “Playing Security Games with No Prior Knowledge .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Benjamin Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, and Milind Tambe. 2016. “Protecting the NECTAR of the Ganga River through Game-Theoretic Factory Inspections .” In International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS).

Yundi Qian, Chao Zhang, Bhaskar Krishnamachari, and Milind Tambe. 2016. “Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. 2016. “Signaling in Bayesian Stackelberg Games .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

L. S. Marcolino, A. Lakshminarayanan, A. Yadav, and M. Tambe. 2016. “Simultaneous Influencing and Mapping for Health Interventions .” In 3rd Workshop on Expanding the Boundaries of Health Informatics Using AI (HIAI’16).

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole Sintov, and Milind Tambe. 2016. “SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration) .” In International conference on Autonomous Agents and Multiagent Systems (AAMAS).

Nika Haghtalab, Fei Fang, Thanh H. Nguyen, Arunesh Sinha, Ariel D. Procaccia, and Milind Tambe. 2016. “Three Strategies to Success: Learning Adversary Models in Security Games .” In 25th International Joint Conference on Artificial Intelligence (IJCAI).

Thanh H. Nguyen, Debarun Kar, Matthew Brown, Arunesh Sinha, Albert Xin Jiang, and Milind Tambe. 2016. “Towards a Science of Security Games .” In New Frontiers of Multidisciplinary Research in STEAM-H (Book chapter) (edited by B Toni).

Fei Fang. 2016. “Towards Addressing Spatio-Temporal Aspects in Security Games ”.

Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, and Colin Beale. 2016. “CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection.” In 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, and Andrew Lemieux. 2016. “Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security.” In Twenty-Eighth Innovative Applications of Artificial Intelligence Conference.

Amulya Yadav, Ece Kamar, Barbara Grosz, and Milind Tambe. 2016. “HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration).” In International conference on Autonomous Agents and Multiagent Systems.

Amulya Yadav, Hau Chan, Albert Jiang, Eric Rice, Ece Kamar, Barbara Grosz, and Milind Tambe. 2016. “POMDPs for Assisting Homeless Shelters – Computational and Deployment Challenges.” In AAMAS 2016 IDEAS Workshop.

Sara Mc Carthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, and Alex Killion. 2016. “Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security.” In AAAI conference on Artificial Intelligence (AAAI).

Leandro Soriano Marcolino, Aravind Lakshminarayanan, Amulya Yadav, and Milind Tambe. 2016. “Simultaneous Influencing and Mapping Social Networks (Extended Abstract).” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, and Milind Tambe. 2016. “Toward Addressing Collusion among Human Adversaries in Security Games.” European Conference on Artificial Intelligence (ECAI )[short paper].

Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, and Milind Tambe. 2016. “Using abstractions to solve opportunistic crime security games at scale.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, and Milind Tambe. 2016. “Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2016.

2015

A. Sinha, T. H. Nguyen, D. Kar, M. Brown, M. Tambe, and A.X. Jiang. 11/17/2015. “From Physical Security to Cyber Security .” Journal of Cybersecurity.

L. S. Marcolino. 1/2015. “Multi-agent Team Formation: Solving Complex Problems by Aggregating Opinions .” In Conference on Artificial Intelligence (AAAI 2015). (Doctoral Consortium). Texas, USA.

L. S. Marcolino, H. Xu, D. Gerber, B. Kolev, S. Price, E. Pantazis, and M. Tambe. 2015. “Agent Teams for Design Problems .” In International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2015).

L. S. Marcolino, D. Gerber, B. Kolev, S. Price, E. Pantazis, Y. Tian, and M. Tambe. 2015. “Agents vote for the environment: Designing energy-efficient architecture .” In Workshop on Computational Sustainability (AAAI 2015).

Matthew Brown. 2015. “Balancing Tradeoffs in Security Games: Handling Defenders and Adversaries with Multiple Objectives ”.

Benjamin Ford, Thanh Nguyen, Milind Tambe, Nicole Sintov, and Francesco Delle Fave. 2015. “Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games .” In Conference on Decision and Game Theory for Security.

B. Bosansky, A. Jiang, M. Tambe, and C. Kiekintveld. 2015. “Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies .” In AAAI conference on Artificial Intelligence (AAAI).

Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, and Albert X. Jiang. 2015. “Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs .” In International Joint Conference on Artificial Intelligence (IJCAI).

Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, and Milind Tambe. 2015. “Conducting Longitudinal Experiments with Behavioral Models in Repeated Stackelberg Security Games on Amazon Mechanical Turk .” In Human-Agent Interaction Design and Models (HAIDM) Workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Fei Fang, Peter Stone, and Milind Tambe. 2015. “Defender Strategies In Domains Involving Frequent Adversary Interaction (Extended Abstract) .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

D. J. Gerber, E. Pantazis, and L. S. Marcolino. 2015. “Design Agency: Prototyping Multi-Agent Systems in Architecture .” In CAAD Futures Conference.

L. S. Marcolino, V. Nagarajan, and M. Tambe. 2015. “Every Team Deserves a Second Chance: An Interactive 9×9 Go Experience (Demonstration) .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

V. Nagarajan, L. S. Marcolino, and M. Tambe. 2015. “Every team deserves a second chance: Identifying when things go wrong .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

V. Nagarajan, L. S. Marcolino, and M. Tambe. 2015. “Every team deserves a second chance: Identifying when things go wrong (Student Abstract Version) .” In Conference on Artificial Intelligence (AAAI 2015). Texas, USA.

V. Nagarajan, L. S. Marcolino, and M. Tambe. 2015. “Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork .” In AAAI Workshop Learning for General Competency in Video Games (AAAI 2015). Texas, USA.

L. S. Marcolino, V. Nagarajan, and M. Tambe. 2015. “Every Team Makes Mistakes, in Large Action Spaces .” In Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2015).

H. Xu, Z. Rabinovich, S. Dughmi, and M. Tambe. 2015. “Exploring Information Asymmetry in Two-Stage Security Games .” In AAAI Conference on Artificial Intelligence (AAAI).

Shahrzad Gholami, Chao Zhang, Arunesh Sinha, and Milind Tambe. 2015. “An extensive study of Dynamic Bayesian Network for patrol allocation against adaptive opportunistic criminals .” In IJCAI’15 Workshop on Behavioral, Economic and Computational Intelligence for Security (BECIS).

Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono, and Timbul Batubara. 2015. “Handling Payoff Uncertainty in Green Security Domains with Adversary Bounded Rationality .” In In IJCAI-15 Workshop on Behavioral, Economic and Computational Intelligence for Security (BECIS-15).

Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono, and Timbul Batubara. 2015. “Handling Payoff Uncertainty with Adversary Bounded Rationality in Green Security Domains .” In In IJCAI-15 Workshop on Algorithmic Game Theory (AGT-15).

Yasaman Dehghani Abbasi, Martin Short, Arunesh Sinha, Nicole Sintov, Chao Zhang, and Milind Tambe. 2015. “Human Adversaries in Opportunistic Crime Security Games: Evaluating Competing Bounded Rationality Models .” In Conference on Advances in Cognitive Systems.

Dehghani Abbasi Y., Short M., Sinha A., Sintov N., Zhang Ch., and Tambe M. 2015. “Human Adversaries in Opportunistic Crime Security Games: How Past success (or failure) affects future behavior .” In Workshop on Behavioral, Economic and Computational Intelligence for Security (IJCAI).

Zinovi Rabinovich, Albert X. Jiang, Manish Jain, and Haifeng Xu. 2015. “Information Disclosure as a Means to Security .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Fei Fang, Thanh Nguyen, Benjamin Ford, Nicole Sintov, and Milind Tambe. 2015. “Introduction to Green Security Games (Extended Abstract) .” In Workshop on Cognitive Knowledge Acquisition and Applications (IJCAI 2015).

Chao Zhang, Arunesh Sinha, and Milind Tambe. 2015. “Keeping pace with criminals: Designing patrol allocation against adaptive opportunistic criminals .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, and Milind Tambe. 2015. “Keeping pace with criminals: Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration) .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, Arunesh Sinha, Aram Galstyan, Bo An, and Milind Tambe. 2015. “Learning Bounded Rationality Models of the Adversary in Repeated Stackelberg Security Games .” In Adaptive and Learning Agents Workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

D. J. Gerber, E. Pantazis, L. S. Marcolino, and A. Heydarian. 2015. “A Multi-Agent Systems for Design Simulation Framework: Experiments with Virtual-Physical-Social Feedback for Architecture .” In Symposium on Simulation for Architecture and Urban Design (SimAUD 2015).

Eric Shieh. 2015. “Not a Lone Ranger: Unleashing Defender Teamwork in Security Games ”.

L. S. Marcolino, H. Xu, A.X. Jiang, M. Tambe, and E. Bowring. 2015. “The Power of Teams that Disagree: Team Formation in Large Action Spaces .” In Coordination, Organizations, Institutions and Norms in Agent Systems X. Springer-Verlag Lecture Notes in AI, 2015.

Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, and Heather Carmichael. 2015. “PSINET: Aiding HIV Prevention Amongst Homeless Youth by Planning Ahead .” AI Magazine.

Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, and Heather Carmichael. 2015. “PSINET – An Online POMDP Solver for HIV Prevention in Homeless Populations .” In In AAAI-15 Workshop on Planning, Search, and Optimization (PlanSOpt-15).

Arjun Tambe and Thanh Nguyen. 2015. “Robust Resource Allocation in Security Games and Ensemble Modeling of Adversary Behavior .” In ACM Symposium on Applied Computing (ACM SAC 2015) Track on Intelligent Robotics and Multi-Agent Systems (IRMAS).

Yundi Qian, William B. Haskell, and Milind Tambe. 2015. “Robust Strategy against Unknown Risk-averse Attackers in Security Games .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Haifeng Xu, Albert X. Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, and Milind Tambe. 2015. “Security Games with Information Leakage: Modeling and Computation .” In International Joint Conference on Artificial Intelligence (IJCAI 2015).

L. S. Marcolino and M. Tambe. 2015. “Three Fundamental Pillars of Multi-agent Team Formation (Doctoral Consortium) .” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

L. S. Marcolino and M. Tambe. 2015. “Unleashing the Power of Multi-agent Voting Teams (Doctoral Consortium) .” In International Joint Conference on Artificial Intelligence (IJCAI 2015).

D. Kar, F. Fang, F. Delle Fave, N. Sintov, M. Tambe, and A. Van Wissen. 2015. “Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report.” In Computational Sustainability Workshop at AAAI’15, Texas, Austin.

Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, and Milind Tambe. 2015. “A Game of Thrones: When Human Behavior Models Compete in Repeated Stackelberg Security Games.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Thanh H. Nguyen, Francesco M. Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, and Aggrey Rwetsiba. 2015. “Making the most of Our Regrets: Regret-based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games.” In Conference on Decision and Game Theory for Security.

Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, and Heather Carmichael. 2015. “Preventing HIV Spread in Homeless Populations Using PSINET.” In Conference on Innovative Applications of Artificial Intelligence (IAAI-15).

Fei Fang, Peter Stone, and Milind Tambe. 2015. “When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.” In International Joint Conference on Artificial Intelligence (IJCAI).

2014

Y. Vorobeychik, B. An, M. Tambe, and S. Singh. 6/2014. “Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Game.” In International Conference on Automated Planning and Scheduling (ICAPS).

Benjamin Ford, Debarun Kar, Francesco M. Delle Fave, Rong Yang, and Milind Tambe. 5/2014. “PAWS: Adaptive Game-theoretic Patrolling for Wildlife Protection (Demonstration).” In Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Matthew Brown, William B. Haskell, and Milind Tambe. 2014. “Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries.” In Conference on Decision and Game Theory for Security (GameSec).

L. S. Marcolino, B. Kolev, S. Price, S. P. Veetil, D. Gerber, J. Musil, and M. Tambe. 2014. “Aggregating Opinions to Design Energy-Efficient Buildings.” In 8th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2014).

Jun-young Kwak, Debarun Kar, William Haskell, Pradeep Varakantham, and Milind Tambe. 2014. “Building THINC: User Incentivization and Meeting Rescheduling for Energy Savings.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

A. Jiang, M. Jain, and M. Tambe. 2014. “Computational Game Theory for Security and Sustainability.” Journal of Information Processing(JIP), (Invited article), 22, 2, Pp. 176-185.

Milind Tambe, Albert Jiang, Bo An, and Manish Jain. 2014. “Computational game theory for security: Progress and challenges.” In AAAI Spring Symposium on Applied Computational Game Theory.

Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. 2014. “Computing Minimax Strategy for Discretized Spatio-Temporal Zero-Sum Security Games.” In International Joint Workshop on Optimization in Multi-Agent Systems and Distributed Constraint Reasoning (OPTMAS-DCR) In Conjunction with AAMAS 2014. Paris, France.

Chao Zhang, Albert Xin Jiang, Martin B. Short, Jeffrey P. Brantingham, and Milind Tambe. 2014. “Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms.” In In Conference on Decision and Game Theory for Security (Gamesec) 2014.

Leandro Soriano Marcolino, Chao Zhang, Albert Xin Jiang, and Milind Tambe. 2014. “A Detailed Analysis of a Multi-agent Diverse Team.” In Coordination, Organizations, Institutions and Norms in Agent Systems IX. Springer-Verlag Lecture Notes in AI, edited by T. Balke, A. Chopra, F. Dignum, and B. van Riemsdijk.

A.X. Jiang, L. S. Marcolino, A. D. Procaccia, T. Sandholm, N. Shah, and M. Tambe. 2014. “Diverse Randomized Agents Vote to Win.” In 28th Neural Information Processing Systems Conference (NIPS).

Francesco M. Delle Fave, Eric Shieh, Manish Jain, Albert Xin Jiang, Heather Rosoff, Milind Tambe, and John P. Sullivan. 2014. “Efficient Solutions for Joint Activity Based Security Games: Fast Algorithms, Results and a Field Experiment on a Transit System.” Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS).

Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordonez, and Milind Tambe. 2014. “An Extended Study on Multi-Objective Security Games.” Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 28, 1, Pp. 31-71.

F. M. Delle Fave, A.X. Jiang, Z. Yin, C. Zhang, M. Tambe, S. Kraus, and J.P. Sullivan. 2014. “Game-theoretic Security Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System.” Journal of Artificial Intelligence Research, 50, Pp. 321-367.

J. Tsai, T. Nguyen, N. Weller, and M. Tambe. 2014. “Game-Theoretic Target Selection in Contagion-based Domains.” In The Computer Journal, 57, 6, Pp. 893-905.

L. S. Marcolino, H. Xu, A.X. Jiang, M. Tambe, and E. Bowring. 2014. “Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces.” In 28th Conference on Artificial Intelligence (AAAI 2014). Québec, Canada.

Rong Yang. 2014. “Human Adversaries in Security Games: Integrating Models of Bounded Rationality and Fast Algorithms”.

Yundi Qian, William B. Haskell, Albert Xin Jiang, and Milind Tambe. 2014. “Online Learning and Planning in Resource Conservation Games.” In AAMAS 2014 Workshop on Adaptive Learning Agents (ALA).

Yundi Qian, William B. Haskell, Albert Xin Jiang, and Milind Tambe. 2014. “Online Planning for Optimal Protector Strategies in Resource Conservation Games.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014).

Chao Zhang, Albert Xin Jiang, Martin Short, Jeffrey Brantingham, and Milind Tambe. 2014. “Opportunistic Security Game: An Initial Report.” In International Joint Workshop on Optimization in Multi-Agent Systems and Distributed Constraint Reasoning (OPTMAS-DCR) In Conjunction with AAMAS 2014. Paris, France.

Thanh H. Nguyen, Amulya Yadav, Bo An, Milind Tambe, and Craig Boutilier. 2014. “Regret-based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty.” In National Conference on Artificial Intelligence (AAAI).

William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, and Elizabeth Denicola. 2014. “Robust protection of fisheries with COmPASS.” In Innovative applications of Artificial Intelligence (IAAI).

F. M. Delle Fave, M. Brown, C. Zhang, E. Shieh, A.X. Jiang, H. Rosoff, M. Tambe, and J.P. Sullivan. 2014. “Security Games in the Field: an Initial Study on a Transit System (Extended Abstract).” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

F. M. Delle Fave, M. Brown, C. Zhang, E. Shieh, A.X. Jiang, H. Rosoff, M. Tambe, and J.P. Sullivan. 2014. “Security Games in the Field: Deployments on a Transit System.” In: Lecture Notes in Artificial Intelligence. Springer. In Press.

Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. 2014. “Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains.” In 28th Conference on Artificial Intelligence (AAAI 2014). Québec, Canada.

Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, and Milind Tambe. 2014. “STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.” In Innovative applications of Artificial Intelligence (IAAI).

L. S. Marcolino, H. Xu, A.X. Jiang, M. Tambe, and E. Bowring. 2014. “Team Formation in Large Action Spaces.” In 17th International Workshop on Coordination, Organizations, Institutions and Norms (COIN 2014). Paris, France.

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, and Wendy Wood. 2014. “TESLA: An Extended Study of an Energy-saving Agent that Leverages Schedule Flexibility.” Journal of Autonomous Agents and Multiagent Systems, JAAMAS, 28, 4, Pp. 605-636.

Chao Zhang, Albert Xin Jiang, Martin B. Short, Jeffrey P. Brantingham, and Milind Tambe. 2014. “Towards a game theoretic approach for defending against crime diffusion.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, and Milind Tambe. 2014. “Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork.” In European Conference on Artificial Intelligence (ECAI).

Rong Yang, Benjamin Ford, Milind Tambe, and Andrew Lemieux. 2014. “Adaptive Resource Allocation for Wildlife Protection against Illegal Poachers.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Thanh Nguyen, Albert Jiang, and Milind Tambe. 2014. “Stop the Compartmentalization: Unified Robust Algorithms for Handling Uncertainties in Security Games.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

2013

Jun-young Kwak. 5/2013. “The Power of Flexibility: Autonomous Agents That Conserve Energy in Commercial Buildings”. 2013_36_teamcore_junkwak-dissertation.pdf

Zhengyu Yin. 2013. “Addressing Uncertainty in Stackelberg Games for Security: Models and Algorithms”. 2013_14_teamcore_thesis.pdf

Thanh H. Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, and Milind Tambe. 2013. “Analyzing the Effectiveness of Adversary Modeling in Security Games”. In Conference on Artificial Intelligence (AAAI).

J. Tsai, Y. Qian, Y. Vorobeychik, C. Kiekintveld, and M. Tambe. 2013. “Bayesian security games for controlling contagion”. In ASE/IEEE International Conference on Social Computing(SocialCom).

Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, and Milnd Tambe. 2013. “Bayesian Security Games for Controlling Contagion”. In MAIN Workshop at AAMAS 2013, 2nd ed., 27: Pp. 200-217.

J. Tsai, Y. Qian, M. Tambe, Y. Vorobeychik, and C. Kiekintveld. 2013. “Bayesian Security Games for Controlling Contagion (Extended version)”. ASE Human Journal, 2, Pp. 168-181.

Dehghani M., Immordino-Yang M. H., Graham J., Marsella S., Forbus K., Ginges J., Tambe M., and Maheswaran R. 2013. “Computational Models of Moral Perception, Conflict & Elevation”. In International Association for Computing and Philosophy (IACAP) 2013.

Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, and Milind Tambe. 2013. “Defender (Mis)coordination in Security Games”. In International Joint Conference on Artificial Intelligence (IJCAI).

B. An, E. Shieh, R. Yang, M. Tambe, C. Baldwin, J. DiRenzo, B. Maule, and G. Meyer. 2013. “A Deployed Quantal Response Based Patrol Planning System for the US Coast Guard”. In Interfaces, 43, 5, Pp. 400-420.

Fei Fang, Albert Xin Jiang, and Milind Tambe. 2013. “Designing Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources”. In International Workshop on Optimisation in Multi-Agent Systems (OPTMAS).

L. S. Marcolino, D. Chen, A.X. Jiang, and M. Tambe. 2013. “Diversity Beats Strength? – A Hands-on Experience with 9×9 Go (Demonstration)”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Demonstrations Track).

Eric Shieh, Manish Jain, Albert Xin Jiang, and Milind Tambe. 2013. “Efficiently Solving Joint Activity Based Security Games”. In International Joint Conference on Artificial Intelligence (IJCAI).

Eric Shieh, Manish Jain, Albert Xin Jiang, and Milind Tambe. 2013. “Efficiently Solving Time-Dependent Joint Activities in Security Games”. In Workshop on Optimization in Multiagent Systems (OPTMAS) at AAMAS.

2013. “Empirical Evaluation of Computational Fear Contagion Models in Crowd Dispersions”. Journal of Autonomous Agents and Multiagent Systems, JAAMAS, 27, 2, Pp. 200-217.

Pujol-Gonzalez, J. Cerquides, P. Meseguer, J. A. Rodriguez Aguilar, and M. Tambe. 2013. “Engineering the decentralized coordination of UAVs with limited communication range”. In Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2013.

Samantha Luber, Zhengyu Yin, Francesco Delle Fave, Albert Xin Jiang, Milind Tambe, and John P. Sullivan. 2013. “Game-theoretic Patrol Strategies for Transit Systems: the TRUSTS System and its Mobile App (Demonstration)”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)(Demonstrations Track).

Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, and Sarit Kraus. 2013. “Game-theoretic Randomization for Security Patrolling with Dynamic Execution Uncertainty”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

R. Yang, C. Kiekintvled, F. Ordonez, M. Tambe, and R. John. 2013. “Improving Resource Allocation Strategies Against Human Adversaries in Security Games: An Extended Study”. Artificial Intelligence Journal (AIJ), 195, Pp. 440-469.

2013. “Mitigating Multi-path Fading in a Mobile Mesh Network”. Ad-Hoc Networks Journal, 11, 4, Pp. 1510-1521.

Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, and Milind Tambe. 2013. “Modeling Crime diffusion and crime suppression on transportation networks: An initial report”. In SNSC 2013: The AAAI Fall Symposium 2013 on Social Networks and Social Contagion.

Thanh H. Nguyen, Amos Azaria, James Pita, Rajiv Maheswaran, Sarit Kraus, and Milind Tambe. 2013. “Modeling Human Adversary Decision Making in Security Games: An Initial Report (Extended Abstract)”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

Albert Xin Jiang, Thanh H. Nguyen, Milind Tambe, and Ariel D. Procaccia. 2013. “Monotonic Maximin: A Robust Stackelberg Solution Against Boundedly Rational Followers”. In Conference on Decision and Game Theory for Security (GameSec).

Leandro Soriano Marcolino, Albert Xin Jiang, and Milind Tambe. 2013. “Multi-agent Team Formation: Diversity Beats Strength?”. In International Joint Conference on Artificial Intelligence (IJCAI).

Fei Fang, Albert Xin Jiang, and Milind Tambe. 2013. “Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Francesco Maria Delle Fave, Yundi Qian, Albert Xin Jiang, Matthew Brown, and Milind Tambe. 2013. “Planning and Learning in Security Games”. In ACM SigEcom Exchanges, 3rd ed. Vol. 11.

Nan Li, Jun-young Kwak, Burcin Becerik-Gerber, and Milind Tambe. 2013. “Predicting HVAC Energy Consumption in Commercial Buildings using Multiagent Systems”. In International Symposium on Automation and Robotics in Construction (ISARC).

Fei Fang, Albert Xin Jiang, and Milind Tambe. 2013. “Protecting Moving Targets with Multiple Mobile Resources”. Journal of Artificial Intelligence Research, 48, Pp. 583-634.

Jason Tsai. 2013. “Protecting Networks Against Diffusive Attacks: Game-Theoretic Resource Allocation for Contagion Mitigation”.

Nupul Kukreja, William G. J. Halfond, and Milind Tambe. 2013. “Randomizing Regression Tests using Game Theory”. In International conference on Automated Software Engineering (ASE).

Rong Yang, Albert Xin Jiang, Milind Tambe, and Fernando Ordo´nez. 2013. “Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-plane Approach”. In International Joint Conference on Artificial Intelligence (IJCAI).

Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, and Milind Tambe. 2013. “Security Games with Contagion: Handling Asymmetric Information”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

Bo An, Matthew Brown, Yevgeniy Vorobeychik, and Milind Tambe. 2013. “Security Games with Surveillance Cost and Optimal Timing of Attack Execution”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, and Wendy Wood. 2013. “TESLA: An Energy-saving Agent that Leverages Schedule Flexibility”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Manish Jain. 2013. “Thwarting Adversaries with Unpredictability: Massive-scale Game-Theoretic Algorithms for Real-world Security Deployments”.

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, and Wendy Wood. 2013. “Why TESLA Works: Innovative Agent-based Application Leveraging Schedule Flexibility for Conserving Energy”. In Workshop on Multiagent-based Societal Systems (MASS) at AAMAS.

Manish Jain, Vincent Conitzer, and Milind Tambe. 2013. “Security Scheduling for Real-world Networks”. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

2012

Yevgeniy Vorobeychik, Bo An, and Milind Tambe. 2012. “Adversarial Patrolling Games. In AAAI Spring Symposium on Security, Sustainability and Health.

Yevgeniy Vorobeychik, Bo An, and Milind Tambe. 2012. “Adversarial Patrolling Games: Extended Abstract. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

Michal Jakob, Zbynek Moler, Antonín Komenday, Zhengyu Yin, Albert Xin Jiang, Matthew P. Johnson, Michal Pechoucek, and Milind Tambe. 2012. “AgentPolis: Towards a Platform for Fully Agent-based Modeling of Multi-Modal Transportation. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Demonstration Track.

Jason Tsai, Nicholas Weller, and Milind Tambe. 2012. “Analysis of Heuristic Techniques for Controlling Contagion. In AAAI Fall Symposium.

Matthew P. Johnson, Fei Fang, Rong Yang, Milind Tambe, and Heidi Jo Albers. 2012. “Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper). In AAAI Spring Symposium on Game Theory for Security, Sustainability and Health.

Rong Yang, Fernando Ordonez, and Milind Tambe. 2012. “Computing Optimal Strategy against Quantal Response in Security Games. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Laura Klein, Jun-young Kwak, Geoffrey Kavulya, Farrokh Jazizadeh, Burcin Becerik-Gerber, Pradeep Varakantham, and Milind Tambe. 2012. “Coordinating Occupant Behavior for Building Energy and Comfort Management using Multi-Agent Systems. Automation in Construction: An International Research Journal, 22, Pp. 525-536. 2012. “Deployed Security Games for Patrol Planning”. In Handbook on Operations Research for Homeland Security.

Manish Jain, Kevin Leyton-Brown, and Milind Tambe. 2012. “The Deployment-to-Saturation Ratio in Security Games. In Conference on Artificial Intelligence (AAAI).

Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, and Rajiv Maheswaran. 2012. “Designing Better Strategies against Human Adversaries in Network Security Games: Extended Abstract. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)(Short paper) .

Matthew P Johnson, Fei Fang, Milind Tambe, and H. J. Albers. 2012. “Designing Patrol Strategies to Maximize Pristine Forest Area. In Workshop on Optimization in Multiagent Systems (OPTMAS) at AAMAS .

Bostjan Kaluza, Gal Kaminka, and Milind Tambe. 2012. “Detection of Suspicious Behavior from a Sparse Set of Multiagent Interactions. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Jason Tsai, Emma Bowring, Stacy Marsella, Wendy Wood, and Milind Tambe. 2012. “Emotional Contagion with Virtual Characters: Extended Abstract. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)(Short paper).

Milind Tambe and Bo An. 2012. “Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond. In AAAI Spring Symposium on Game Theory for Security, Sustainability and Health.

Bo An and Milind Tambe. 2012. “Game Theory for Security: An Important Challenge for Multiagent Systems. In European Workshop on Multiagent Systems (EUMAS) 2011 workshop (Invited) .

Milind Tambe, Manish Jain, James Adam Pita, and Albert Xin Jiang. 2012. “Game Theory for Security: Key Algorithmic Principles, Deployed Systems, Lessons Learned.In 50th Annual Allerton Conference on Communication, Control, and Computing .

Ondrej Vanek, Zhengyu Yin, Manish Jain, Branislav Bosansky, Milind Tambe, and Michal Pechoucek. 2012. “Game-theoretic Resource Allocation for Malicious Packet Detection in Computer Networks. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Jason Tsai, Thanh H. Nguyen, and Milind Tambe. 2012. “Game-Theoretic Target Selection in Contagion-based Domains. In Workshop on Optimization in Multiagent Systems (OPTMAS) at AAMAS .

James Pita. 2012. “The Human Element: Addressing Human Adversaries in Security Domains.

Farrokh Jazizadeha, Geoffrey Kavulyaa, Jun-young Kwak, Burcin Becerik-Gerber, Milind Tambe, and Wendy Wood. 2012. “Human-Building Interaction for Energy Conservation in Office Buildings.In Construction Research Congress .

Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, and Rajiv Maheswaran. 2012. “Modeling Human Bounded Rationality to Improve Defender Strategies in Network Security Games. In Workshop on Human-Agent Interaction Design and Models (HAIDM) at AAMAS .

Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordonez, and Milind Tambe. 2012. “Multi-Objective Optimization for Security Games. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordonez, and Milind Tambe. 2012. “Multi-Objective Optimization for Security Games. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Matthew P. Johnson, Fei Fang, and Milind Tambe. 2012. “Patrol Strategies to Maximize Pristine Forest Area. In Conference on Artificial Intelligence (AAAI) .

Jason Tsai, Emma Bowring, Stacy Marsella, Wendy Wood, and Milind Tambe. 2012. “Preliminary Exploration of Agent-Human Emotional Contagion via Static Expressions. In Workshop on Emotional and Empathic Agents (EEA) at AAMAS .

Bo An, Eric Shieh, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, and Garrett Meyer. 2012. “PROTECT – A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. AI Magazine 33 (4), Pp. 96-110.

Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, and Garrett Meyer. 2012. “PROTECT: A Deployed Game Theoretic System to Protect the Ports of the United States. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, and Garrett Meyer. 2012. “PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States. In Conference on Artificial Intelligence (AAAI) Spotlight Track .

Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer, and Kathryn Moretti. 2012. “PROTECT in the Ports of Boston, New York and Beyond: Experiences in Deploying Stackelberg Security Games with Quantal Response.In . Springer.

James Pita, Richard John, Rajiv Maheswaran, Milind Tambe, and Sarit Kraus. 2012. “A Robust Approach to Addressing Human Adversaries in Security Games. In European Conference on Artificial Intelligence (ECAI).

James Pita, Richard John, Rajiv Maheswaran, Milind Tambe, Rong Yang, and Sarit Kraus. 2012. “A Robust Approach to Addressing Human Adversaries in Security Games: Extended Abstract. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Short paper).

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, and Wendy Wood. 2012. “SAVES: A Sustainable Multiagent Application to Conserve Building Energy Considering Occupants. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) .

Manish Jain, Bo An, and Milind Tambe. 2012. “Security Games Applied to Real-World: Research Contributions and Challenges.In In S. Jajodia, A.K. Ghosh, V.S. Subramanian, V. Swarup, C. Wang, and X. S. Wang editors Moving Target Defense II: Application of Game Theory and Adversarial Modeling, Springer .

Thanh H. Nguyen, Jason Tsai, Albert Jiang, Emma Bowring, Rajiv Maheswaran, and Milind Tambe. 2012. “Security Games on Social Networks. In AAAI Fall Symposium, 2012 .

Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, and Yevgeniy Vorobeychik. 2012. “Security Games with Limited Surveillance. In Conference on Artificial Intelligence (AAAI) .

Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, and Yevgeniy Vorobeychik. 2012. “Security Games with Limited Surveillance: An Initial Report.In AAAI Spring Symposium on Game Theory for Security, Sustainability and Health.

J. Tsai, E. Bowring, S. Marsella, W. Wood, and M. Tambe. 2012. “A Study of Emotional Contagion with Virtual Characters. In International Conference on Intelligent Virtual Agents (IVA) (short paper) .

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, and Wendy Wood. 2012. “Sustainable Multiagent Application to Conserve Energy. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Demonstration Track .

Albert Xin Jiang, Zhengyu Yin, Matthew P. Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, and Milind Tambe. 2012. “Towards Optimal Patrol Strategies for Fare Inspection in Transit Systems. In AAAI Spring Symposium on Game Theory for Security, Sustainability and Health .

Jun-young Kwak, Pradeep Varakantham, Rajiv Maheswaran, Milind Tambe, Timothy Hayes, Wendy Wood, and Burcin Becerik-Gerber. 2012. “Towards Robust Multi-objective Optimization Under Model Uncertainty for Energy Conservation. In Workshop on Agent Technologies for Energy Systems (ATES) at AAMAS .

Zhengyu Yin, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, and John P. Sullivan. 2012. “TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems using Game Theory. AI Magazine, 33 , 4 , Pp. 59-72.

Zhengyu Yin, Albert Jiang, Matthew Johnson, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, and John Sullivan. 2012. “TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems. In Conference on Innovative Applications of Artificial Intelligence (IAAI) .

Zhengyu Yin and Milind Tambe. 2012. “A Unified Method for Handling Discrete and Continuous Uncertainty in Bayesian Stackelberg Games. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Manish Jain, Kevin Leyton-Brown, and Milind Tambe. 2012. “Which Security Games are Hard to Solve?. In AAAI Spring Symposium on Game Theory for Security, Sustainability and Health .

Manish Jain, Bo An, and Milind Tambe. 2012. “An Overview of Recent Application Trends at the AAMAS conference: Security, Sustainability and Safety.AI Magazine, 33, 3, Pp. 14-28.

Jason Tsai, Thanh H. Nguyen, and Milind Tambe. 2012. “Security Games for Controlling Contagion.In Conference on Artificial Intelligence (AAAI).

2011

Manish Jain, Zhengyu Yin, Milind Tambe, and Fernando Ordonez. 2011. “Addressing Execution and Observation Error in Security Games.” In AAAI’11 Workshop on Applied Adversarial Reasoning and Risk Modeling (AARM)

Matthew Brown, Emma Bowring, Shira Epstein, Mufaddal Jhaveri, Rajiv Maheswaran, Parag Mallick, Shannon Mumenthaler, Michelle Povinelli, and Milind Tambe. 2011. “Applying Multi-Agent Techniques to Cancer Modeling.” In Workshop on Multiagent Sequential Decision Making in Uncertain Domains(MSDM) at AAMAS 2011

Christopher Kiekintveld, Janusz Marecki, and Milind Tambe. 2011. “Approximation Methods for Infinite Bayesian Stackelberg Games: Modeling Distributional Payoff Uncertainty.” In International Conference on Autonomous Agents and Multiagent Systems

Zhengyu Yin and Milind Tambe. 2011. “Continuous Time Planning for Multiagent Teams with Temporal Constraints.” In International Joint Conference on Artificial Intelligence (IJCAI)

Matthew E. Taylor, Manish Jain, Prateek Tandon, Milind Tambe, and Makoto Yokoo. 2011. “Distributed On-line Multi-Agent Optimization Under Uncertainty: Balancing Exploration and Exploitation.” In Advances in Complex Systems

Manish Jain, Dmytro Korzhyk, Ondrej Vanek, Vincent Conitzer, Michal Pechoucek, and Milind Tambe. 2011. “A Double Oracle Algorithm for Zero-Sum Security Games on Graphs.” In International Conference on Autonomous Agents and Multiagent Systems

Jason Tsai, Emma Bowring, Stacy Marsella, and Milind Tambe. 2011. “Empirical Evaluation of Computational Emotional Contagion Models.” In International Conference on Intelligent Virtual Agents (IVA)

Jason Tsai, Natalie Fridman, Emma Bowring, Matthew Brown, Shira Epstein, Gal Kaminka, Stacy Marsella, Andrew Ogden, Inbal Rika, Ankur Sheel, Matthew Taylor, Xuezhi Wang, Avishay Zilka, and Milind Tambe. 2011. “ESCAPES – Evacuation Simulation with Children, Authorities, Parents, Emotions, and Social comparison.” In International Conference on Autonomous Agents and Multiagent Systems

Rong Yang, Milind Tambe, Manish Jain, Jun-young Kwak, James Pita, and Zhengyu Yin. 2011. “Game Theory and Human Behavior: Challenges in Security and Sustainability.” In Algorithmic Decision Theory (ADT)

James Pita, Milind Tambe, Chris Kiekintveld, Shane Cullen, and Erin Steigerwald. 2011. “GUARDS – Game Theoretic Security Allocation on a National Scale.” In International Conference on Autonomous Agents and Multiagent Systems

James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, and Erin Steigerwald. 2011. “GUARDS – Innovative Application of Game Theory for National Airport Security.” In International Joint Conference on Artificial Intelligence (IJCAI)

Rong Yang, Christopher Kiekintveld, Fernando Ordonez, Milind Tambe, and Richard John. 2011. “Improved Computational Models of Human Behavior in Security Games.” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract)

Rong Yang, Christopher Kiekintveld, Fernando Ordonez, Milind Tambe, and Richard John. 2011. “Improving Resource Allocation Strategy Against Human Adversaries in Security Games.” In International Joint Conference on Artificial Intelligence (IJCAI)

Marcos A. M. Vieira, Matthew E. Taylor, Prateek Tandon Manish Jain, Ramesh Govindan, Gaurav S. Sukhatme, and Milind Tambe. 2011. “Mitigating Multi-path Fading in a Mobile Mesh Network.” In Ad-Hoc Networks

Bo An, Manish Jain, Milind Tambe, and Christopher Kiekintveld. 2011. “Mixed-Initiative Optimization in Security Games: A Preliminary Report.” In AAAI Spring Symposium on Help me help you:Bridging the Gaps in Human-Agent Collaboration

Jason Tsai, Emma Bowring, Stacy Marsella, and Milind Tambe. 2011. “Modeling Emotional Contagion.” In MABS Multiagent-based Simulation Workshop at AAMAS 2011

Meritxell Vinyals, Eric Shieh, Jesus Cerquides, Juan Antonio Rodriguez-Aguilar, Zhengyu Yin, Milind Tambe, and Emma Bowring. 2011. “Quality guarantees for region optimal DCOP algorithms.” In International Conference on Autonomous Agents and Multiagent Systems

Manish Jain, Milind Tambe, and Christopher Kiekintveld. 2011. “Quality-bounded Solutions for Finite Bayesian Stackelberg Games: Scaling up.” In International Conference on Autonomous Agents and Multiagent Systems

Bo An, Milind Tambe, Fernando Ordonez, Eric Shieh, and Christopher Kiekintveld. 2011. “Refinement of Strong Stackelberg Equilibria in Security Games.” In Conference on Artificial Intelligence (AAAI)

Meritxell Vinyals, Eric Shieh, Jesus Cerquides, Juan Antonio Rodriguez-Aguilar, Zhengyu Yin, Milind Tambe, and Emma Bowring. 2011. “Reward-based region optimal quality guarantees.” In Workshop on Optimisation in Multiagent Systems (OPTMAS) at AAMAS 2011

Zhengyu Yin, Manish Jain, Milind Tambe, and Fernando Ordonez. 2011. “Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty.” In Conference on Artificial Intelligence (AAAI)

Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, and Milind Tambe. 2011. “Robust Execution-time Coordination in DEC-POMDPs Under Model Uncertainty.” In Workshop on Multiagent Sequential Decision Making in Uncertain Domains(MSDM) at AAMAS 2011

Milind Tambe. 2011. “Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned.” Cambridge University Press

Zhengyu Yin, Kanna Rajan, and Milind Tambe. 2011. “Solving Continuous-Time Transition-Independent DEC-MDP with Temporal Constraints.” In AAMAS Workshop on Multiagent Sequential Decision Making in Uncertain Domains (MSDM)

Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe. 2011. “Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness.” Journal of AI Research (JAIR), 41, Pp. 297-327

Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, and Milind Tambe. 2011. “Teamwork in Distributed POMDPs: Execution-time Coordination Under Model Uncertainty.” In International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract)

James Pita, Rong Yang, Milind Tambe, and Richard John. 2011. “Toward Addressing Human Behavior with Observational Uncertainty in Security Games.” In AAAI’11 Workshop on Applied Adversarial Reasoning and Risk Modeling (AARM)

Jun-young Kwak, Milind Tambe, Paul Scerri, Amos Freedy, and Onur Sert. 2011. “Towards a Robust MultiAgent Autonomous Reasoning System (MAARS): An Initial Simulation Study for Satellite Defense.” In AIAA Infotech at Aerospace

Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, and Milind Tambe. 2011. “Towards Addressing Model Uncertainty: Robust Execution-time Coordination for Teamwork (Short Paper).” In International Conference on Intelligent Agent Technology (short paper)

Bostjan Kaluza, Gal Kaminka, and Milind Tambe. 2011. “Towards Detection of Suspicious Behavior from Multiple Observations.” In PAIR 2011: AAAI Workshop on Plan, Activity, and Intent Recognition

Jun-young Kwak, Pradeep Varakantham, Milind Tambe, Laura Klein, Farrokh Jazizadeh, Geoffrey Kavulya, Burcin B. Gerber, and David J. Gerber. 2011. “Towards Optimal Planning for Distributed Coordination Under Uncertainty in Energy Domains.” In Workshop on Agent Technologies for Energy Systems (ATES) at AAMAS 2011

Laura Klein, Geoffrey Kavulya, Farrokh Jazizadeh, Jun-young Kwak, Burcin Becerik-Gerber, Pradeep Varakantham, and Milind Tambe. 2011. “Towards Optimization Of Building Energy And Occupant Comfort Using Multi-Agent Simulation.” In International Symposium on Automation and Robotics in Construction

Matthew E. Taylor, Manish Jain, Christopher Kiekintveld, Jun-young Kwak, Rong Yang, Zhengyu Yin, and Milind Tambe. 2011. “Two Decades of Multiagent Teamwork Research: Past, Present, and Future.” In Collaborative Agents REsearch and Development (CARE) 2010 workshop

Bo An, James Pita, Eric Shieh, Milind Tambe, Christopher Kiekintveld, and Janusz Marecki. 2011. “GUARDS and PROTECT: Next Generation Applications of Security Games.” In ACM SIGecom Exchanges , 1st ed. Vol. 10

Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, and Matjaz Gams. 2011. “A Probabilistic Risk Analysis for Multimodal Entry Control.” Expert systems with Applications,, 28, Pp. 6696-6704

2010

Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, and Milind Tambe. 2010. “Asynchronous Algorithms for Approximate Distributed Constraint Optimization with Quality Bounds.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Emma Bowring, Milind Tambe, and Makoto Yokoo. 2010. “Balancing Local Resources and Global Goals in Multiply-Constrained DCOP.” Journal of Multiagent and Grid Systems (MAGS), 6, 4, Pp. 353-393

Matthew E. Taylor, Christopher Kiekintveld, Craig Western, and Milind Tambe. 2010. “A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?.” Informatica, 34, Pp. 129-139

Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, and Milind Tambe. 2010. “Game-Theoretic Allocation of Security Forces in a City.” In AAMAS 2010 workshop on Optimization in Multiagent Systems

Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, and Milind Tambe. 2010. “How to Protect a City: Strategic Security Placement in Graph-Based Domains.” In Extended Abstract for International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, and Milind Tambed. 2010. “Introducing Communication in Dis-POMDPs with Locality of Interaction.” Journal of Web Intelligence and Agent Systems (WIAS), 8, 3, Pp. 303-311

Emma Bowring and Milind Tambe. 2010. “Introducing Multiagent Systems to Undergraduates Through Games and Chocolate.” In Book Chapter in ‘Multi-Agent Systems for Education and Interactive Entertainment:Design, Use and Experience’

Christopher Kiekintveld, Janusz Marecki, and Milind Tambe. 2010. “Methods and Algorithms for Infinite Bayesian Stackelberg Security Games (Extended Abstract).” In Conference on Decision and Game Theory for Security

Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordonez, and Milind Tambe. 2010. “Optimal defender allocation for massive security games: A branch and price approach.” In AAMAS 2010 Workshop on Optimisation in Multi-Agent Systems (OptMas)

James Pita, Christopher Kiekintveld, Michael Scott, and Milind Tambe. 2010. “Randomizing Security Activities with Attacker Circumvention Strategies.” In AAMAS 2010 Workshop on Optimisation in Multi-Agent Systems (OptMas)

Christopher Kiekintveld, Milind Tambe, and Janusz Marecki. 2010. “Robust Bayesian Methods for Stackelberg Security Games (Extended Abstract).” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) [Short Paper]

James Pita, Manish Jain, Fernando Ordonez, Milind Tambe, and Sarit Kraus. 2010. “Robust Solutions to Stackelberg Games: Addressing Bounded Rationality and Limited Observations in Human Cognition.” Artificial Intelligence Journal, 174, 15, Pp. 1142-1171

Manish Jain, Erim Kardes, Christopher Kiekintveld, Milind Tambe, and Fernando Ordonez. 2010. “Security Games with Arbitrary Schedules: A Branch and Price Approach.” In National Conference on Artificial Intelligence (AAAI)

Manish Jain, James Pita, Jason Tsai, Christopher Kiekintveld, Shyamsunder Rathi, Fernando Ordonez, and Milind Tambe. 2010. “Software Assistants for patrol planning at LAX and Federal Air Marshals Service.” Interfaces, 40, 4, Pp. 267-290

Zhengyu Yin, Dmytro Korzhyk, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe. 2010. “Stackelberg vs. Nash in Security Games: Interchangeability, Equivalence, and Uniqueness.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, and Milind Tambe. 2010. “Teamwork and Coordination under Model Uncertainty in DEC-POMDPs.” In AAAI 2010 Workshop on Interactive Decision Theory and Game Theory (IDTGT)

Scott Alfeld, Matthew E. Taylor, Prateek Tandon, and Milind Tambe. 2010. “Towards a Theoretic Understanding of DCEE.” In DCR 10

Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, and Milind Tambe. 2010. “Urban Security: Game-Theoretic Resource Allocation in Networked Physical Domains.” In National Conference on Artificial Intelligence (AAAI)

Matthew E. Taylor, Manish Jain, Yanquin Jin, Makoto Yooko, and Milind Tambe. 2010. “When Should There be a “Me” in “Team”? Distributed Multi-Agent Optimization Under Uncertainty.” In International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

2009

Matthew E. Taylor, Chris Kiekintveld, Craig Western, and Milind Tambe. 7/2009. “Is There a Chink in Your ARMOR? Towards Robust Evaluations for Deployed Security Systems.” In IJCAI 2009 Workshop on Quantitative Risk Analysis for Security Applications. QRASA-7/2009

Jason Tsai, Emma Bowring, Shira Epstein, Natalie Fridman, Prakhar Garg, Gal Kaminka, Andrew Ogden, Milind Tambe, and Matthew Taylor. 2009. “Agent-based Evacuation Modeling: Simulating the Los Angeles International Airport.” In Workshop on Emergency Management: Incident, Resource, and Supply Chain Management (EMWS09)

J. Pita, M. Jain, C. Western, P. Paruchuri, J. Marecki, M. Tambe, F. Ordonez, and S. Kraus. 2009. “ARMOR Software: A game theoretic approach to airport security.” In Protecting Airline Passengers in the Age of Terrorism, edited by P. Seidenstat. Praeger Publishers

Emma Bowring and Milind Tambe. 2009. “Bridging the Gap: Introducing Agents and Multiagent Systems to Undergraduate Students.” In Educational Uses of Multi-Agent Systems (EDUMAS)

Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, and Milind Tambe. 2009. “Computing Optimal Randomized Resource Allocations for Massive Security Games.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems

Manish Jain, Matthew Taylor, Milind Tambe, and Makoto Yokoo. 2009. “DCOPs Meet the RealWorld: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.” In International Joint Conference on Artificial Intelligence (IJCAI)

James Pita, Manish Jain, Fernando Ordóñez, Milind Tambe, Sarit Kraus, and Reuma Magori-Cohen. 2009. “Effective Solutions for Real-World Stackelberg Games: When Agents Must Deal with Human Uncertainties.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems

Pradeep Varakantham, Jun-young Kwak, Matthew Taylor, Janusz Marecki, Paul Scerri, and Milind Tambe. 2009. “Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping.” In International conference on automated planning and scheduling

Nathan Schurr, Janusz Marecki, and Milind Tambe. 2009. “Improving Adjustable Autonomy Strategies for Time-Critical Domains.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems

Jason Tsai, Shyamsunder Rathi, Christopher Kiekintveld, Fernando Ordonez, and Milind Tambe. 2009. “IRIS – A Tool for Strategic Security Allocation in Transportation Networks.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems – Industry Track

Zhengyu Yin, Christopher Kiekintveld, Atul Kumar, and Milind Tambe. 2009. “Local Optimal Solutions for DCOP: New Criteria, Bound, and Algorithm.” In AAMAS 2009 Workshop on Optimisation in Multi-Agent Systems (OptMas)

Janusz Marecki and Milind Tambe. 2009. “Planning with Continuous Resources for Agent Teams.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems

J. Pita, M. Jain, C. Kiekintveld, H. Bellamane, J. Tsai, M. Tambe, and F. Ordonez. 2009. “Security Applications: Lessons of Real-World Deployment.” ACM SIGecom Exchanges, 8, 2

Emma Bowring, Zhengyu Yin, Rob Zinkov, and Milind Tambe. 2009. “Sensitivity analysis for distributed optimization with resource constraints.” In The Eighth International Conference on Autonomous Agents and Multiagent Systems

Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, and Milind Tambe. 2009. “Strategic Security Placement in Network Domains with Applications to Transit Security.” In In IJCAI 2009 Workshop on Quantitative Risk Analysis for Security Applications

Matthew E. Taylor, Manish Jain, Prateek Tandon, and Milind Tambe. 2009. “Using DCOPs to Balance Exploration and Exploitation in Time-Critical Domains.” In IJCAI 2009 Workshop on Distributed Constraint Reasoning (DCR 2009)

James Pita, Manish Jain, Fernando Ordonez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, and Sarit Kraus. 2009. “Using Game Theory for Los Angeles Airport Security.” AI Magazine 30 (1), Pp. 43-57

P. Paruchuri, J. Pearce, J. Marecki, M. Tambe, F. Ordonez, and S. Kraus. 2009. “Coordinating randomized policies for increasing security of agent systems.” Journal of Information Technology and Management (ITM), 10, 1, Pp. 67-79

2008

J. Pita, Manish Jain, Fernando Ordonez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, and Sarit Kraus. 2008. “ARMOR Security for Los Angeles International Airport.” In AAAI Intelligent Systems Demonstrations

Manish Jain, J Pita, Milind Tambe, Fernando Ordonez, Praveen Paruchuri, and Sarit Kraus. 2008. “Bayesian Stackelberg Games and their Application for Security at Los Angeles International Airport.” In SIGecom Exchanges

J. Pita, Manish Jain, Craig Western, Christopher Portway, Milind Tambe, Fernando Ordonez, Sarit Kraus, and Praveen Paruchuri. 2008. “Deployed ARMOR protection: The application of a game theoretic model for security at the Los Angeles International Airport.” In International Joint Conference on Autonomous Agents and Multiagent Systems, 2008

Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2008. “Efficient Algorithms to solve Bayesian Stackelberg Games for Security Applications.” In National Conference on Artificial Intelligence (AAAI)

M. Tasaki, Y. Yabu, Y. Iwanari, M. Yokoo, M. Tambe, J. Marecki, and P. Varakantham. 2008. “Introducing Communication in Dis-POMDPs with Locality of Interaction.” In IEEE International conference on Intelligent Agent Technology (IAT)

Emma Bowring, Jonathan P. Pearce, Christopher Portway, Manish Jain, and Milind Tambe. 2008. “On K-Optimal Distributed Constraint Optimization Algorithms: New Bounds and Algorithms.” In The Seventh International Conference on Autonomous Agents and Multiagent Systems

A. Freedy, O. Sert, E. Freedy, G. Weltman, J. Mcdonough, Milind Tambe, and Tapana Gupta. 2008. “Multiagent adjustable autonomy framework (MAAF) for multirobot, multihuman teams.” In International symposium on collaborative technologies (CTS)

Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, and Makoto Yokoo. 2008. “Not All Agents Are Equal: Scaling up Distributed POMDPs for Agent Networks.” In The Seventh International Conference on Autonomous Agents and Multiagent Systems

Janusz Marecki. 2008. “Planning with Continuous Resources in Agent Systems.” 2008_15_teamcore_marecki_j4015754173.pdf

Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2008. “Playing games with security: An efficient exact algorithm for Bayesian Stackelberg Games.” In International Joint Conference on Autonomous Agents and Multiagent Systems, 2008

Nathan Schurr, Janusz Marecki, and Milind Tambe. 2008. “RIAACT: A robust approach to adjustable autonomy for human-multiagent teams.” In The Seventh International Conference on Autonomous Agents and Multiagent Systems

Manish Jain, Fernando Ord’onez, James Pita, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, and Sarit Kraus. 2008. “Robust Solutions in Stackelberg Games: Addressing Boundedly Rational Human Preference Models.” In Association for the Advancement of Artificial Intelligence 4th Multidiciplinary Workshop on Advances in Preference Handling

Jonathan P. Pearce, Milind Tambe, and Rajiv T. Maheswaran. 2008. “Solving multiagent networks using distributed constraint optimization.” AI Magazine 29 (3), Pp. 47-66

Janusz Marecki and Milind Tambe. 2008. “Towards Faster Planning with Continuous Resources in Stochastic Domains.” In Twenty Third AAAI Conference on Artificial Intelligence

Milind Tambe, Anne Balsamo, and Emma Bowring. 2008. “Using science fiction in teaching Artificial Intelligence.” In AAAI Spring Symposium 2008

2007

Emma Bowring. 2007. “Balancing local resources and global goals in multiply constrained distributed constraint optimization.”

Praveen Paruchuri, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2007. “Coordinating Randomized Policies for Increasing Security in Multiagent Systems.”

Tapana Gupta, Pradeep Varakantham, Timothy W. Rauenbusch, and Milind Tambe. 2007. “Demonstration of Teamwork in Uncertain Domains using Hybrid BDI-POMDP systems.”

Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2007. “An Efficient Heuristic Approach for Security Against Multiple Adversaries.”

Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Sarit Kraus, and Fernando Ordonez. 2007. “An Efficient Heuristic for Security Against Multiple Adversaries in Stackelberg Games.”

Milind Tambe, Emma Bowring, Pradeep Varakantham, K. Lerman, Paul Scerri, and D. V. Pynadath. 2007. “Electric Elves: What went wrong and why.”

Janusz Marecki, Sven Koenig, and Milind Tambe. 2007. “A Fast Analytical Algorithm for Solving Markov Decision Processes with Continuous Resources.”

Karen Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda Gervasio, Deborah Mcguinness, David Morley, Avi Pfeffer, M Pollack, and Milind Tambe. 2007. “An Intelligent Personal Assistant for Task and Time Management.”

Praveen Paruchuri. 2007. “Keep the Adversary Guessing: Agent Security by Policy Randomization.”

Hideaki Katagishi and Jonathan P. Pearce. 2007. “KOPT : Distributed DCOP Algorithm for Arbitrary k- optima with Monotonically Increasing Utility.”

Jonathan Pearce, Emma Bowring, Christopher Portway, and Milind Tambe. 2007. “K-optimal algorithms for Distributed Constraint Optimization: Extending to domains with hard constraints.”

Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, Milind Tambe, and Makoto Yokoo. 2007. “Letting loose a SPIDER on a network of POMDPs: Generating quality guaranteed policies.”

Jonathan P. Pearce. 2007. “Local Optimization in Cooperative Agent Networks.”

Janusz Marecki and Milind Tambe. 2007. “On Opportunistic Techniques for Solving Decentralized Markov Decision Processes with Temporal Constraints.”

Jonathan P. Pearce and Milind Tambe. 2007. “Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems.”

Pradeep Varakantham, Janusz Marecki, Milind Tambe, and Makoto Yokoo. 2007. “SPIDER attack on a network of POMDPs: Towards quality bounded solutions.”

Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, and Milind Tambe. 2007. “Towards efficient computation of error bounded solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs.”

Pradeep Varakantham. 2007. “Towards Efficient Planning in Real World Partially Observable Domains.”

2006

Rachel Greenstadt, Jonathan P. Pearce, and Milind Tambe. 7/2006. “Analysis of Privacy Loss in Distributed Constraint Optimization“. In The Twenty-First National Conference on Artificial Intelligence (AAAI-06).

Nathan Schurr, Pradeep Varakantham, Emma Bowring, Milind Tambe, and Barbara Grosz. 2006. “Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents“. In WORKSHOP on programming multiagent systems.

Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, Paul Scerri, and V. D Pynadath. 2006. “Electric Elves: What Went Wrong and Why“. In AAAI Spring Symposium.

Rachel Greenstadt, Jonathan P. Pearce, Emma Bowring, and Milind Tambe. 2006. “Experimental analysis of privacy loss in DCOP algorithms (short paper).” In Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Yoonheui Kim, Ranjit Nair, Pradeep Varakantham, Milind Tambe, and Makoto Yokoo. 2006. “Exploiting Locality of Interaction in Networked Distributed POMDPs“. In AAAI Spring Symposium on Distributed Planning and Scheduling.

2006. “Implementation Techniques for solving POMDPs in Personal Assistant Domains“. In Programming Multiagent Systems (PROMAS). Springer Press.

Emma Bowring, Milind Tambe, and Makoto Yokoo. 2006. “Multiply-Constrained DCOP for Distributed Planning and Scheduling“. In AAAI Spring Symposium on Distributed Planning and Scheduling.

Emma Bowring, Milind Tambe, and Makoto Yokoo. 2006. “Multiply-Constrained Distributed Constraint Optimization“. In Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS).

Praveen Paruchuri, Emma Bowring, Ranjit Nair, Jonathan P. Pearce, Nathan Schurr, Milind Tambe, and Pradeep Varakantham. 2006. “Mutiagent Teamwork: Hybrid Approaches“. In Computer society of India Communications (Invited).

Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, and Milind Tambe. 2006. “Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications“. Journal of Autonomous Agents and Multiagent Systems (JAAMAS), 13, Pp. 27 – 60.

Praveen Paruchuri, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2006. “Security in Multiagent Systems by Policy Randomization“. In Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Jonathan P. Pearce, Rajiv T. Maheswaran, and Milind Tambe. 2006. “Solution Sets for DCOPs and Graphical Games“. In Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Nathan Schurr, Pratik Patil, Fred Pighin, and Milind Tambe. 2006. “Using Multiagent Teams to Improve the Training of Incident Commanders“. In Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS) Industry Track.

Pradeep Varakantham, Ranjit Nair, Milind Tambe, and Makoto Yokoo. 2006. “Winning back the CUP for distributed POMDPs: Planning over continuous belief spaces“. In Fifth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS).

2005

Paul Scerri, A. Farinelli, Steven Okamoto, and Milind Tambe. 7/2005. “Allocating tasks in extreme teams“. In Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Milind Tambe, Emma Bowring, H. Jung, Gal Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh J. Modi, Ranjit Nair, Steven Okamoto, Jonathan P. Pearce, Praveen Paruchuri, D. V. Pynadath, Paul Scerri, Nathan Schurr, and Pradeep Varakantham. 7/2005. “Conflicts in teamwork: Hybrids to the rescue“. In Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Jonathan P. Pearce, Rajiv T. Maheswaran, and Milind Tambe. 7/2005. “How Local Is That Optimum? k-optimality for DCOP“. In Fourth International Joint Conference Poster on Autonomous Agents and Multiagent Systems (AAMAS).

R. Nair, P. Varakantam, M. Tambe, and M. Yokoo. 7/2005. “Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs“. In International Joint Conference on Artificial Intelligence (IJCAI).

Ranjit Nair, Pradeep Varakantham, Milind Tambe, and Makoto Yokoo. 7/2005. “Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs“. In Twentieth AAAI-05 National Conference on Artificial Intelligence.

Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, and Milind Tambe. 7/2005. “Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents“. In Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Nathan Schurr, Janusz Marecki, Milind Tambe, J. P. Lewis, and N. Kasinadhuni. 3/21/2005. “The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO“. In AAAI Spring Symposium on Homeland Security. Stanford, CA.

3/21/2005. “Optimize My Schedule but Keep It Flexible: Distributed Multi-Criteria Coordination for Personal Assistants“. In AAAI Spring Symposium on Persistent Assistants: Living and Working with AI. Menlo Park, CA.

Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, and Milind Tambe. 3/21/2005. “Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents“. In AAAI Spring Symposium on Persistent Assistants: Living and Working with AI. Menlo Park, CA.

H. Jung and Milind Tambe. 2005. “Communication in distributed constraint satisfaction problems“. In International Central and Eastern European Conference on Multi-Agent Systems (CEEMAS’05).

Nathan Schurr, Janusz Marecki, Paul Scerri, J. P. Lewis, and Milind Tambe. 2005. “The DEFACTO System: Coordinating Human-Agent Teams for the Future of Disaster Response“. In Programming Multiagent Systems. Springer Press.

Nathan Schurr, Janusz Marecki, Paul Scerri, J. P. Lewis, and Milind Tambe. 2005. “The DEFACTO System: Training Tool for Incident Commanders“. In Innovative Applications of Artificial Intelligence (IAAI’05).

Pradeep Varakantham, Rajiv T. Maheswaran, and Milind Tambe. 2005. “Exploiting Belief Bounds: Practical POMDPs for Personal Assistant Agents“. In International Conference on Autonomous Agents and Multiagent Systems, AAMAS.

Ranjit Nair and Milind Tambe. 2005. “Hybrid BDI-POMDP Framework for Multiagent Teaming“. Journal of AI Research (JAIR), 23, Pp. 367-420.

Pradeep Varakantham, Rajiv T. Maheswaran, and Milind Tambe. 2005. “Practical POMDPs for Personal Assistant Domains“. In AAAI Spring Symposium.

Syed M. Ali, Sven Koenig, and Milind Tambe. 2005. “Preprocessing Techniques for Accelerating the DCOP Algorithm ADOPT“. In Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS).

M Huhns. 2005. “Research Directions for Service Oriented Multiagent Systems“. IEEE Internet Computing, 9, 6 2005, Pp. 65-70 .

Nathan Schurr, Janusz Marecki, Milind Tambe, and Paul Scerri. 2005. “Towards Flexible Coordination of Human-Agent Teams“. Multiagent and Grid Systems – An International Journal, 1, Pp. 3-16.

Pragnesh J. Modi, W. Shen, Milind Tambe, and Makoto Yokoo. 2005. “ADOPT: Asynchronous distributed constraint optimization with quality guarantees“. Artificial Intelligence Journal(AIJ), 161, Pp. 149-180.

2004

Paul Scerri, K. Sycara, and Milind Tambe. 2004. “Adjustable autonomy in the context of coordination (invited paper)“. In First Intelligent Systems Technical Conference of the American Institute of Aeronautics and Astronautics.

Ranjit Nair, Makoto Yokoo, Maayan Roth, and Milind Tambe. 2004. “Communication for Improving Policy Computation in Distributed POMDPs“. In Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04).

Ranjit Nair. 2004. “Coordinating multiagent teams in uncertain domains using distributed POMDPs”.

Nathan Schurr, Paul Scerri, and Milind Tambe. 2004. “Coordination Advice: A Preliminary Investigation of Human Advice to Multiagent Teams“. In Spring Symposium.

Jonathan P. Pearce, Rajiv T. Maheswaran, and Milind Tambe. 2004. “DCOP Games for Multi-Agent Coordination“. In CP 2004 Workshop on Distributed Constraint Reasoning (DCR-04).

Rajiv T. Maheswaran, Jonathan P. Pearce, and Milind Tambe. 2004. “Distributed Algorithms for DCOP: A Graphical Game-Based Approach“. In 17th International Conference on Parallel and Distributed Computing Systems (PDCS-2004).

Nathan Schurr, Steven Okamoto, Rajiv T. Maheswaran, Paul Scerri, and Milind Tambe. 2004. “Evolution of a Teamwork Model“. In Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press.

Syed M. Ali, Sven Koenig, and Milind Tambe. 2004. “Preprocessing Techniques for Distributed Constraint Optimization (Short Paper).In International Joint Conference on Principles and Practices of Constraint Programming (CP).

Rajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, and Pradeep Varakantham. 2004. “Taking DCOP to the Real World : Efficient Complete Solutions for Distributed Event Scheduling“. In Third International Joint Conference on Agents and Multi Agent Systems, AAMAS.

Praveen Paruchuri, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2004. “Towards a formalization of teamwork with resource constraints“. In International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04).

Ranjit Nair, Milind Tambe, S. Marsella, and R. Raines. 2004. “Automated assistants for analyzing team behaviors.Journal of Autonomous Agents and Multiagent Systems (JAAMAS), 8, Pp. 69-111.

2003

Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, and Karen Myers. 2003. “Adjustable Autonomy challenges in Personal Assistant Agents: A Position Paper“. In Autonomy.

Paul Scerri, Pragnesh J. Modi, Milind Tambe, and W. Shen. 2003. “Are multiagent algorithms relevant for real hardware? A case study of distributed constraint algorithms“. In ACM Symposium on applied computing (SAC’2003).

Pragnesh J. Modi, W. Shen, Milind Tambe, and Makoto Yokoo. 2003. “An asynchronous complete method for distributed constraint optimization“. In Second International Joint conference on agents and multiagent systems (AAMAS).

D. V. Pynadath and Milind Tambe. 2003. “Automated teamwork among heterogeneous software agents and humans“. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 7, Pp. 71-100.

Praveen Paruchuri, Milind Tambe, Spiros Kapetanakis, and Sarit Kraus. 2003. “Between collaboration and competition: An Initial Formalization using Distributed POMDPs“. In GTDT workshop, AAMAS-03. Melbourne, Australia.

H. Jung and Milind Tambe. 2003. “Composing POMDP building blocks to analyze large-scale multiagent systems“. In AAAI Spring Symposium.

Hyuckchul Jung. 2003. “Conflict Resolution Strategies and their Performance models for large scale Multi Agent Systems“.

Pragnesh ‘Jay’ Modi. 2003. “Distributed Constraint Optimization of Multi-Agent Systems“.

V. Lesser, C. Ortiz, and Milind Tambe. 2003. “>Distributed sensor nets: A multiagent perspective”. Kluwer academic.

Paul Scerri, Johnson L., D. V. Pynadath, P. S. Rosenbloom, M. Si, Nathan Schurr, and Milind Tambe. 2003. “Getting robots, agents and people to cooperate: An initial study“. In AAAI Spring Symposium.

Ranjit Nair, Milind Tambe, and S. Marsella. 2003. “Integrating BDI approaches with POMDPs: The case of team-oriented programs“. In AAAI Spring Symposium.

Ranjit Nair, Milind Tambe, and Stacy Marsella. 2003. “Integrating Belief-Desire-Intention Approaches with POMDPs: The Case of Team-Oriented Programs“. In AAAI Spring Symposium on Logical Formalisms for Commonsense Reasoning.

H. Jung and Milind Tambe. 2003. “Performance models for large-scale multiagent systems: Using Distributed POMDP building blocks“. In Second International Joint conference on agents and multiagent systems (AAMAS).

Paul Scerri, Johnson L., D. V. Pynadath, P. S. Rosenbloom, M. Si, Nathan Schurr, and Milind Tambe. 2003. “A prototype infrastructure for distributed robot, agent, person teams“. In Second International Joint conference on agents and multiagent systems (AAMAS).

Ranjit Nair, Milind Tambe, and S. Marsella. 2003. “Role allocation and reallocation in multiagent teams: Towards a practical analysis“. In Second International Joint conference on agents and multiagent systems (AAMAS).

Ranjit Nair, Milind Tambe, and S. Marsella. 2003. “The role of emotions in multiagent teamwork“. In Who needs emotions: The brain meets the machine, edited by J. Fellous and M. Arbib. MIT Press.

Ranjit Nair, Milind Tambe, Makoto Yokoo, D. V. Pynadath, and S. Marsella. 2003. “Taming Decentralized POMDPs: Towards efficient policy computation for multiagent settings“. In International Joint conference on Artificial Intelligence (IJCAI).

Paul Scerri, David V. Pynadath, Nathan Schurr, Alessandro Farinelli, Sudeep Gandhe, and Milind Tambe. 2003. “Team Oriented Programming and Proxy Agents: The Next Generation“. In Lecture notes in computer science, Proceedings of the workshop on Programming multiagent systems, Springer.

Pragnesh J. Modi, Syed M. Ali, Rishi Goel, and Milind Tambe. 2003. “Distributed Constraint Reasoning under Unreliable Communication”. In International workshop on distributed constraint reasoning DCR-03.

2002

Milind Tambe, Paul Scerri, and D. V. Pynadath. 2002. “Adjustable autonomy for the real world“. In AAAI Spring Symposium on Safe learning agents.

Karen Myers and Milind Tambe. 2002. “Agents, theories, architectures and languages (ATAL-01)“. In Springer lecture notes in Artificial Intelligence LNAI 2333.

Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, and Milind Tambe. 2002. “Applying Constraint Reasoning to Real-world Distributed Task Allocation“. In Autonomous Agents and Multi-Agent Systems Workshop on Distributed Constraint Reasoning.

D. V. Pynadath and Milind Tambe. 2002. “The communicative multiagent team decision problem: Analyzing teamwork theories and models“. Journal of AI Research (JAIR), 16, Pp. 389-423.

D. V. Pynadath and Milind Tambe. 2002. “Electric Elves: Adjustable autonomy in real-world multiagent environments“. In Socially Intelligent Agents creating relationships with computers and Robots. Kluwer Academic Publishers.

H. Chalupsky, Y. Gil, Craig Knoblock, K. Lerman, J. Oh, D. V. Pynadath, T. Russ, and Milind Tambe. 2002. “Electric Elves: Agent Technology for Supporting Human Organizations (longer version of IAAI’01 paper)“. AI Magazine.

Hyuckchul Jung, Milind Tambe, Anthony Barrett, and Bradley Clement. 2002. “Enabling Efficient Conflict Resolution in Multiple Spacecraft Missions via DCSP“. In International NASA Workshop on Planning and Scheduling for Space.

H. Jung, Milind Tambe, A. Barrett, and B. Clement. 2002. “Enabling efficient conflict resolution in multiple spacecraft missions via DCSP“. In NASA workshop on planning and scheduling.

Gal Kaminka, D. V. Pynadath, and Milind Tambe. 2002. “Monitoring teams by overhearing: A multiagent plan-recognition approach“. Journal of AI Research JAIR, 17, Pp. 83-135.

D. V. Pynadath and Milind Tambe. 2002. “Multiagent teamwork: Analyzing key teamwork theories and models“. In First Autonomous Agents and Multiagent Systems Conference (AAMAS).

Ranjit Nair, T. Ito, Milind Tambe, and S. Marsella. 2002. “Task allocation in the RoboCup Rescue simulation domain: A short note“. In International Symposium on RoboCup (RoboCup’01).

D. V. Pynadath and Milind Tambe. 2002. “Team coordination among distributed agents: Analyzing key teamwork theories and models“. In AAAI Spring Symposium on Intelligent Distributed and Embedded Systems.

Ranjit Nair, Milind Tambe, and S. Marsella. 2002. “Team formation for reformation“. In AAAI Spring Symposium on Intelligent Distributed and Embedded Systems.

Ranjit Nair, Milind Tambe, and S. Marsella. 2002. “Team formation for reformation in multiagent domains like RoboCupRescue“. In International Symposium on RoboCup (RoboCup’02).

Paul Scerri, D. V. Pynadath, and Milind Tambe. 2002. “Towards adjustable autonomy for the real-world“. Journal of AI Research (JAIR), 17, Pp. 171-228.

Paul Scerri, D. V. Pynadath, and Milind Tambe. 2002. “Why the elf acted autonomously: Towards a theory of adjustable autonomy“. In First Autonomous Agents and Multiagent Systems Conference (AAMAS).

2001

David V. Pynadath, Milind Tambe, and Gal A. Kaminka. 2001. “Adaptive infrastructures for agent integration“. In First International Workshop on Infrastructures for Scalable multi-agent systems, Springer Lecture Notes in Computer Science.

Milind Tambe, D. V. Pynadath, and Paul Scerri. 2001. “Adjustable Autonomy: A Response“. In Intelligent Agents VII Proceedings of the International workshop on Agents, theories, architectures and languages.

Paul Scerri, D. V. Pynadath, and Milind Tambe. 2001. “Adjustable autonomy in real-world multi-agent environments“. In International Conference on Autonomous Agents (Agents’01).

H. Jung and Milind Tambe. 2001. “Argumentation as Distributed Constraint Satisfaction: Applications and Results“. In International Conference on Autonomous Agents (Agents’01).

Pragnesh J. Modi, H. Jung, Milind Tambe, W. Shen, and S. Kulkarni. 2001. “A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation“. In International Conference on Principles and Practices of Constraint programming.

Pragnesh J. Modi, H. Jung, Milind Tambe, W. Shen, and S. Kulkarni. 2001. “Dynamic distributed resource allocation: A distributed constraint satisfaction approach“. In Intelligent Agents VIII Proceedings of the International workshop on Agents, theories, architectures and languages (ATAL’01).

H. Chalupsky, Y. Gil, Craig Knoblock, K. Lerman, J. Oh, D. V. Pynadath, T. Russ, and Milind Tambe. 2001. “Electric Elves: Applying Agent Technology to Support Human Organizations“. In International Conference on Innovative Applications of AI (IAAI’01).

D. V. Pynadath, Paul Scerri, and Milind Tambe. 2001. “MDPs for Adjustable autonomy in a real-world multi-agent environment“. In AAAI Spring Symposium on Decision theoretic and Game Theoretic Agents.

Gal Kaminka, D. V. Pynadath, and Milind Tambe. 2001. “Monitoring Deployed Agent Teams“. In International Conference on Autonomous Agents (Agents’01).

D. V. Pynadath and Milind Tambe. 2001. “Revisiting Asimov’s First Law: A Response to the Call to Arms“. In Intelligent Agents VIII Proceedings of the International workshop on Agents, theories, architectures and languages (ATAL’01).

H. Jung and Milind Tambe. 2001. “Towards Argumentation as Distributed Constraint Satisfaction“. In AAAI Fall Symposium 2001 on Agent Negotiation.

2000

Milind Tambe, D. V. Pynadath, C. Chauvat, A. Das, and Gal Kaminka. 2000. “Adaptive agent architectures for heterogeneous team members“. In International Conference on Multi-agent Systems (ICMAS).

Milind Tambe, T. Raines, and S. Marsella. 2000. “Agent Assistants for Team Analysis“. AI Magazine.

T. Raines, Milind Tambe, and S. Marsella. 2000. “Automated agents that help humans understand agent team behaviors“. In International conference on Autonomous Agents (Agents).

Milind Tambe, D. V. Pynadath, and N. Chauvat. 2000. “Building dynamic agent organizations in cyberspace“. IEEE Internet Computing 4 (2).

2000. “Conflicts in agent teams“. In Conflicting agents. Kluwer academic publishers.

Paul Scerri, Milind Tambe, H. Lee, and D. V. Pynadath. 2000. “Don’t cancel my Barcelona trip: Adjusting the autonomy of agent proxies in human organizations“. In AAAI Fall Symposium on Socially Intelligent Agents — the human in the loop.

D. V. Pynadath, Milind Tambe, Y. Arens, and H. Chalupsky. 2000. “Electric Elves: Immersing an agent organization in a human organization“. In AAAI Fall Symposium on Socially Intelligent Agents — the human in the loop.

Gal Kaminka. 2000. “Execution Monitoring in Multi-Agent Environments”.

S. Marsella, J. Adibi, Y. Alonaizan, Gal Kaminka, I. Muslea, and Milind Tambe. 2000. “Experiences acquired in the design of Robocup teams: A comparison of two fielded teams“. Journal of Autonomous Agents and Multi-agent Systems, special issue on Best of Agents ’99, 4, Pp. 115-129.

M. Asada, M. Veloso, Milind Tambe, H. Kitano, I. Noda, and G. K. Kraetzschmar. 2000. “Overview of RoboCup’98“. AI Magazine, Spring 2000.

Ranjit Nair, T. Ito, Milind Tambe, and S. Marsella. 2000. “RoboCup Rescue: A Proposal and Preliminary Experiences“. In ICMAS workshop on RoboCup Rescue.

Gal Kaminka and Milind Tambe. 2000. “Robust agent teams via socially attentive monitoring“. Journal of Artificial Intelligence Research (JAIR), 12, Pp. 105-147.

Milind Tambe and W. Zhang. 2000. “Towards flexible teamwork in persistent teams: extended report“. Journal of Autonomous Agents and Multi-agent Systems, special issue on ‘Best of ICMAS 98,’ 3, Pp. 159-183.

H. Jung, M. Tambe, W. Shen, and W. Zhang. 2000. “Towards large-scale conflict resolution: Initial results“. In Initial results In Proceedings of the International Conference on Multi-Agent Systems (ICMAS) (POSTER).

D. Pynadath, M. Tambe, N. Chauvat, and L. Cavedon. 2000. “Towards team-oriented programming“. In Intelligent Agents, Volume VI: Workshop on Agents, theories, architectures and Languages. Springer, Heidelberg, Germany.

1999

S. Marsella, J. Adibi, Y. Alonaizan, Gal Kaminka, I. Muslea, and Milind Tambe. 1999. “On being a teammate: Experiences acquired in the design of Robocup teams“. In International conference on Autonomous agents, Agents ’99.

M. Georgeff, B. Pell, M. Pollack, Milind Tambe, and M. Wooldrige. 1999. “The Belief-Desire-Intention model of agency“. In Agents, Theories, Architectures and Languages (ATAL).

Milind Tambe and H. Jungh. 1999. “The benefits of arguing in a team“. AI Magazine, Winter 1999 20 (4).

Gal Kaminka and Milind Tambe. 1999. “I’m OK, You’re OK, We’re OK: Experiments in Centralized and Distributed Socially Attentive Monitoring“. In International conference on Automonomous Agents, Agents 99.

D. V. Pynadath, Milind Tambe, and N. Chauvat. 1999. “Rapid integration and coordination of heterogeneous distributed agents for collaborative enterprises“. In DARPA JFACC symposium on advances in Enterprise Control.

Milind Tambe, W. Shen, M. Mataric, D. Goldberg, Pragnesh J. Modi, Z. Qiu, and B. Salemi. 1999. “Teamwork in cyberspace: Using TEAMCORE to make agents team-ready“. In AAAI Spring Symposium on Agents in Cyberspace.

D. V. Pynadath, Milind Tambe, N. Chauvat, and L. Cavedon. 1999. “Toward team-oriented programming“. In Agents, theories, architectures and languages (ATAL’99) workshop, to be published in Springer Verlag ‘Intelligent Agents VI’.

T. Raines, Milind Tambe, and S. Marsella. 1999. “Towards automated team analysis: a machine learning approach“. In Third international RoboCup competitions and workshop.

Z. Qiu, M. Tambe, and H. Jung. 1999. “Towards flexible negotiation in teamwork“. In Third International Conference on Autonomous Agents (Agents).

Milind Tambe, Gal Kaminka, S. Marsella, I. Muslea, and T. Raines. 1999. “Two fielded teams and two experts: A Robocup response challenge from the trenches“. In International joint conference on Artificial Intelligence, IJCAI 99.

Milind Tambe, Jafar Adibi, Yasar Alonaizan, Ali Erdem, Gal Kaminka, Ion Muslea, and Stacy Marsella. 1999. “Building agent teams using an explicit teamwork model and learning.” Artificial Intelligence 110, Pp. 215-240.

1998

Z. Qiu and Milind Tambe. 1998. “Flexible Negotiations in Teamwork: Extended Abstract “. In AAAI Fall Symposium on Distributed Continual Planning.

Milind Tambe. 1998. “Implementing agent teams in dynamic multi-agent environments “. Applied Artificial Intelligence 12, Pp. 189-210.

1998. “Social comparison for failure detection and recovery “. In Intelligent Agents IV: Agents, Theories, Architectures and Languages (ATAL). Springer Verlag.

Milind Tambe, W. L. Johnson, and W. Shen. 1998. “Adaptive agent tracking in real-world multi-agent domains: a preliminary report“. International Journal of Human-Computer Studies, 48, Pp. 105-124.

G. Kaminka and M. Tambe. 1998. “Agent component synergy: Social comparison for failure detection“. In Second International Conference on Autonomous Agents (Agents).

A. Drogoul, Milind Tambe, and T. Fukuda. 1998. “Collective Robotics Workshop: Lecture notes in Artificial Intelligence 1456“”. Berlin: Springer Verlag.

Milind Tambe, J. Adibi, Y. Alonaizan, A. Erdem, Gal Kaminka, S. Marsella, I. Muslea, and M. Tallis. 1998. “ISIS: Using an explicit model of teamwork in RoboCup 97“. In First robot world cup competition and conferences. Springer Verlag.

Gal Kaminka, Milind Tambe, and C. Hopper. 1998. “The role of agent modeling in agent robustness“. In Conference on AI meets the real-world.

R. Hill, J. Chen, J. Gratch, P. Rosenbloom, and M. Tambe. 1998. “Soar-RWA: Planning, teamwork, and intelligent behavior for synthetic rotary wing aircraft“. In Seventh Conference on Computer Generated Forces and Behavioral Representation.

Milind Tambe and W. Zhang. 1998. “Towards flexible teamwork in persistent teams“. In International conference on multi-agent systems (ICMAS).

S. Marsella, J. Adibi, Y. Alonaizan, A. Erdem, R. Hill, Gal Kaminka, Milind Tambe, and Q Zhun. 1998. “Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract RoboCup 98“. In Second robot world cup competition and conferences. Springer Verlag.

Gal Kaminka and Milind Tambe. 1998. “What is wrong with us? Improving robustness through social diagnosis“. In National conference on Artificial Intelligence (AAAI).

1997

Milind Tambe. 1997. “Agent architectures for flexible, practical teamwork“. In National Conference on Artificial Intelligence (AAAI-97).

Milind Tambe. 1997. “Towards Flexible Teamwork“. Journal of Artificial Intelligence Research, 7, Pp. 83-124.

R. Hill, J. Chen, J. Gratch, P. S. Rosenbloom, and Milind Tambe. 1997. “Intelligent agents for the synthetic battlefield: A company of rotary wing aircraft“. Innovative Applications of Artificial Intelligence (IAAI-97).

H. Kitano, Milind Tambe, P. Stone, M. Veloso, S. Coradeschi, E. Osawa, H. Matsubara, I. Noda, and M. Asada. 1997. “The RoboCup Synthetic Agent Challenge 97“. International Joint Conference on Artificial Intelligence (IJCAI97).

1996

M. Tambe, W. L. Johnson, and W. Shen. 1996. “Adaptive agent tracking in real-world multiagent domains: A preliminary report“. In AAAI Spring Symposium on Adaptation, Coevolution and Learning in Multiagent Systems.

Milind Tambe and P. S. Rosenbloom. 1996. “Event tracking in a dynamic multi-agent environment“. Computational Intelligence 12.

Milind Tambe. 1996. “Executing Team Plans in Dynamic Multi-agent environments“. In AAAI Fall Symposium on Plan Execution.

1996. “Intelligent Agents: Vol II, Workshop on Agents, theories, architectures and languages (ATAL-95)“.

Milind Tambe. 1996. “Teamwork in real-world, dynamic environments“. In International conference on multi-agent systems (ICMAS96).

Milind Tambe. 1996. “Tracking dynamic team activity“. In National Conference on Artificial Intelligence (AAAI96).

Milind Tambe. 1996. “Tracking dynamic team activity: An extended report“. USC ISI Technical report RR, Pp. 96-435.

Milind Tambe and P. S. Rosenbloom. 1996. “Architectures for agents that track other agents in multi-agent worlds“. In Intelligent Agents, Vol II Springer Verlag Lecture Notes in Artificial Intelligence (LNAI 1037).

1995

Milind Tambe, K. Schwamb, and P. S. Rosenbloom. 1995. “Constraints and design choice’s in building intelligent pilots for simulated aircraft: Extended Abstract“. In AAAI Spring Symposium on ‘Lessons Learned from Implemented Software Architectures for Physical Agents’.

Milind Tambe. 1995. “Recursive agent and agent-group tracking in a real-time dynamic environment“. In International conference on multi-agent systems (ICMAS).

Milind Tambe and P. S. Rosenbloom. 1995. “RESC: An approach for dynamic, real-time agent tracking“. In International joint conference on Artificial Intelligence (IJCAI), 3rd ed., 12: Pp. 499-522.

W. Lewis Johnson and Milind Tambe. 1995. “Using Machine Learning To Extend Autonomous Agent Capabilities“. In Summer Computer Simulation Conference.

Milind Tambe, K. Schwamb, and P. S. Rosenbloom. 1995. “Building intelligent pilots for simulated rotary wing aircraft“. In Conference on computer generated forces and behavioral representation.

Milind Tambe, W. L. Johnson, R. M. Jones, F. Koss, J. E. Laird, P. S. Rosenbloom, and K Schwamb. 1995. “Intelligent Agents for Interactive Simulation Environments“. AI Magazine 16 (1), Pp. 15-39.

1994

Milind Tambe, R. M. Jones, J. E. Laird, P. S. Rosenbloom, and K. Schwamb. 1994. “Building believable agents for simulation environments: Extended Abstract“. In AAAI Spring Symposium on ‘Believable Agents’.

Milind Tambe and Paul S. Rosenbloom. 1994. “Event Tracking for an Intelligent Automated Agent“. In Time94: An international workshop on temporal representation and reasoning.

Milind Tambe and P. S. Rosenbloom. 1994. “Event tracking in complex multiagent environments“. In Conference on computer generated forces and behavioral representation.

Paul S. Rosenbloom, W. Lewis Johnson, Randolph M. Jones, Frank Koss, and John E. Laird. 1994. “Intelligent Automated Agents for Tactical Air Simulation: A Progress Report“. In Fourth Conference on Computer Generated Forces and Behavioral Representation. Orlando, FL.

M. Tambe and P. S. Rosenbloom. 1994. “Investigating production system representations for non-combinatorial match“. Artificial Intelligence (AIJ), 68, 1, Pp. 155-199.

1993

A. Acharya and Milind Tambe. 1993. “Collection oriented match“. In Conference on Information and Knowledge Management.

Wilson A. Harvey and Milind Tambe. 1993. “Experiments in Knowledge Refinement for a Large Rule-Based System“. In School of Computer Science, Carnegie Mellon University, technical report CMU-CS-93-195.

Milind Tambe and P. S. Rosenbloom. 1993. “On the Masking Effect“. In National conference on Artificial Intelligence (AAAI-93).

1992

M. Tambe, Kalp. D., and P. Rosenbloom. 11/1992. “An efficient algorithm for production systems with linear-time match“. In International Conference on Tools of Artificial Intelligence.

C. lain Stobie, Milind Tambe, and Paul S. Rosenbloom. 11/1992. “Flexible integration of path-planning capabilities“. MOBILE ROBOTS VII.

R. Doorenbos, M. Tambe, and A. Newell. 1992. “Learning 10,000 chunks: what’s it like out there“. In National Conference on Artificial Intelligence (AAAI).

A. Acharya, M. Tambe, and A. Gupta. 1992. “Implementation of production systems on message passing computers: Simulation results and analysis“. In IEEE Transactions on Parallel and Distributed Computing (IEEE TPDC), 4th ed., 3: Pp. 477-487.

1991

W. Harvey, D. Kalp, M. Tambe, D. McKeown, and A. Newell. 1991. “The effectiveness of task-level parallelism for production system“. Parallel and Distributed Computing (JPDC), 13, 4, Pp. 395-411.

Milind Tambe, Dirk Kalp, and Paul Rosenbloom. 1991. “Uni-Rete: specializing the Rete match algorithm for the unique-attribute representation“. In Carnegie Mellon University Computer Science Dept Technical Report.

1990

W. Harvey, D. Kalp, M. Tambe, D. McKeown, and A. Newell. 1990. “The effectiveness of task-level parallelism for high-level vision“. In ACM/SIGPLAN Symposium on Principles and Practices of Parallel Programming (PPOPP).

M. Tambe and P. Rosenbloom. 1990. “A framework for investigating production system formulations with polynomially bounded match“. In National Conference on Artificial Intelligence (AAAI).

1990. “The problem of expensive chunks and its solution by restricting expressiveness“. Machine Learning Journal, 5, 3, Pp. 299-348.

1989

M. Tambe and P. Rosenbloom. 1989. “Eliminating expensive chunks by restricting expressiveness“. In International Joint Conference on Artificial Intelligence (IJCAI’89).

Milind Tambe, Anurag Acharya, and Anoop Gupta. 1989. “Implementation of production systems on message passing computers: techniques, simulation results and analysis“. Carnegie Mellon University Computer Science Dept Technical Report.

1988

A. Gupta, C. L. Forgy, D. Kalp, A. Newell, and M. Tambe. 1988. “Parallel ops5 on the encore multimax“. In International Conference on Parallel Processing (ICPP).

M. Tambe, D. Kalp, A. Gupta, C. L. Forgy, B. G. Milnes, and A. Newell. 1988. “Soar/Psm-e: Investigating match parallelism in a learning production system“. In ACM/SIGPLAN Symposium on Parallel Programming: Experience with Applications, Languages, and Systems (PPEALS).

A. Gupta and M. Tambe. 1988. “Suitability of message passing computers for implementing production systems“. In National Conference on Artificial Intelligence (AAAI).

Milind Tambe and Allen Newell. 1988. “Why some chunks are expensive. Carnegie Mellon University Computer Science“.

Publications Years