@conference {1502316,
	title = {Defender Strategies In Domains Involving Frequent Adversary Interaction (Extended Abstract) },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)},
	year = {2015},
	abstract = {Recently, there has been an increase in interest in applying game
theoretic approaches to domains involving frequent adversary interactions, such as wildlife and fishery protection. In these domains, the law enforcement agency faces adversaries who repeatedly and frequently carry out illegal activities, and thus, do not have
time for extensive surveillance before taking actions. This makes
them significantly different from counter-terrorism domains where
game-theoretic approaches have been widely deployed. This paper
presents a game-theoretic approach to be used by the defender in
these Frequent Adversary Interaction (FAI) domains. We provide
(i) a novel game model for FAI domains, describing the interaction between the defender and the attackers in a repeated game and
(ii) algorithms that plan for the defender strategies to achieve high
average expected utility over all rounds.},
	author = {Fang, Fei and Stone, Peter and Tambe, Milind}
}
