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PAWS: adaptive game-theoretic patrolling for wildlife protection.

, , , , and . AAMAS, page 1641-1642. IFAAMAS/ACM, (2014)

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When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games., , , and . GameSec, volume 11836 of Lecture Notes in Computer Science, page 542-562. Springer, (2019)Multi-objective optimization for security games., , , , and . AAMAS, page 863-870. IFAAMAS, (2012)Every team deserves a second chance: an extended study on predicting team performance., , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery., , , , , and . CoRR, (2020)Building THINC: user incentivization and meeting rescheduling for energy savings., , , , and . AAMAS, page 925-932. IFAAMAS/ACM, (2014)Computational Game Theory for Security and Sustainability., , and . J. Inf. Process., 22 (2): 176-185 (2014)A robust approach to addressing human adversaries in security games., , , , , and . AAMAS, page 1297-1298. IFAAMAS, (2012)SAVES: a sustainable multiagent application to conserve building energy considering occupants., , , , , , , , , and . AAMAS, page 21-28. IFAAMAS, (2012)Signaling in Bayesian Stackelberg Games., , , , and . AAMAS, page 150-158. ACM, (2016)Introduction., and . ATAL, volume 2333 of Lecture Notes in Computer Science, page 1-5. Springer, (2001)