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Green security games: apply game theory to addressing green security challenges.

, and . SIGecom Exch., 15 (1): 78-83 (2016)

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Tackling Sequential Attacks in Security Games., , , and . GameSec, volume 11836 of Lecture Notes in Computer Science, page 331-351. Springer, (2019)PAWS - A Deployed Game-Theoretic Application to Combat Poaching., , , , , , , , , and . AI Mag., 38 (1): 23-36 (2017)Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning., , and . CoRR, (2023)Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games., , and . AAMAS, page 317-324. IFAAMAS/ACM, (2014)Analyzing the Effectiveness of Adversary Modeling in Security Games., , , , and . AAAI, page 718-724. AAAI Press, (2013)A Stackelberg Game Model for Botnet Traffic Exfiltration., , and . AAAI Workshops, volume WS-17 of AAAI Technical Report, AAAI Press, (2017)Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty., , , , and . AAAI, page 756-762. AAAI Press, (2014)Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility., , , , and . AAAI, page 15242-15250. AAAI Press, (2023)Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm., , and . AAAI, page 4242-4243. AAAI Press, (2016)Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration)., , , , , , , and . AAAI, page 4355-4356. AAAI Press, (2016)