Title | Author | Published At |
---|---|---|
End to End Learning and Optimization on Graphs | Bryan Wilder, Eric Ewing, Bistra Dilkina, and Milind Tambe | In Advances in Neural and Information Processing Systems (NeurIPS-19), 2019 |
Exploring Algorithmic Fairness in Robust Graph Covering Problems | Aida Rahmattalabi, Phebe Vayanos ∗, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, and Milind Tambe | In Advances in Neural and Information Processing Systems (NeurIPS-19), 2019 |
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data | Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe | The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019 |
Mobile Game Theory with Street Gangs | Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jefferey Brantingham, and Milind Tambe | The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019 |
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games | Xinrun Wang, Milind Tambe, Branislav Boˇsansky ́, Bo An | Conference on Decision and Game Theory for Security, 2019 |
Cyber Camouflage Games for Strategic Deception | Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, and Fei Feng | Conference on Decision and Game Theory for Security, 2019 |
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces | Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, and Milind Tambe | Conference on Decision and Game Theory for Security, 2019 |
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty | Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe | Joint Workshop on Autonomous Agents for Social Good (AASG) at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19) |
Decision-Focused Learning of Adversary Behavior in Security Games | Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe | GAIW: Games, Agents and Incentives Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19) |
Predicting and Planning against Real-world Adversaries: An End-to-end Pipeline to Combat Illegal Wildlife Poachers on a Global Scale | Shahrzad Gholami | PhD Thesis |
General-Sum Cyber Deception Games under Partial Attacker Valuation Information | Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld | International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19) |
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study) | Aida Rahmattalabi, Anamika Barman Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker | Strategic Reasoning for Societal Challenges (SRSC) Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19) |
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks | Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19) |
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries | Sarah Cooney, Phebe Vayanos, Thanh H. Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19) |
Broken Signals in Security Games: Coordinating Mobile Patrollers and Sensors in the Real World (Extended Abstract) | Elizabeth Bondi and Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19) |
Using Game Theory in Real Time in the Real World: A Conservation Case Study (Demonstration) | Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (Demonstration) (AAMAS-19) |
Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development | Elizabeth Bondi | International Conference on Autonomous Agents and Multiagent Systems (Doctoral Consortium) (AAMAS-19) |
Deep Fictitious Play for Games with Continuous Action Spaces | Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19) |
Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge | Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19) |
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization | Bryan Wilder, Bistra Dilkina, Milind Tambe | AAAI conference on Artificial Intelligence (AAAI-19) |
On the Inducibility of Stackelberg Equilibrium for Security Games | Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An | AAAI conference on Artificial Intelligence (AAAI-19) |
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games | Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML-PKDD), 2019 |
Group-Fairness in Influence Maximization | Alan Tsang , Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick | International Joint Conference on Artificial Intelligence (IJCAI) 2019 |
Visionary Security: Using Uncertain Real-Time Information in Signaling Games | Elizabeth Bondi | International Joint Conference on Artificial Intelligence (IJCAI) 2019 (Doctoral Consortium) |
Towards Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models | Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere | International Conference on Cognitive Modeling (ICCM), 2019 |
Integrating optimization and learning to prescribe interventions for tuberculosis patients | Bryan Wilder, Jackson A. Killian, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe | 10th International Workshop on Optimization in Multiagent Systems (OptMAS) |
Using Graph Convolutional Networks to Learn Interdiction Games | Kai Wang, Aditya Mate, Bryan Wilder, Andrew Perrault, Milind Tambe | AI for Social Good workshop (AI4SG) at International Joint Conference on Artificial Intelligence (IJCAI) 2019 |
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback |
Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe | The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019 |