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A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract).

, , , , and . AAMAS, page 1315-1316. ACM, (2016)

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A framework for learning and planning against switching strategies in repeated games., , and . Connect. Sci., 26 (2): 103-122 (2014)A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)., , , , and . AAMAS, page 1315-1316. ACM, (2016)Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems., , , , , and . AAMAS, page 386-394. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Assessing Nitrogen Nutrition in Corn Crops with Airborne Multispectral Sensors., , , , , and . IEA/AIE (2), volume 10351 of Lecture Notes in Computer Science, page 259-267. Springer, (2017)Planning against fictitious players in repeated normal form games., and . AAMAS, page 1073-1080. IFAAMAS, (2010)Social reward shaping in the prisoner's dilemma., , and . AAMAS (3), page 1389-1392. IFAAMAS, (2008)Strategic Interactions Among Agents with Bounded Rationality., , and . IJCAI, page 3219-3220. IJCAI/AAAI, (2013)Learning to cooperate in multi-agent social dilemmas., , and . AAMAS, page 783-785. ACM, (2006)Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed., , , and . MICAI (Special Sessions), page 32-37. IEEE Computer Society, (2012)Compatible features for Monotonic Policy Improvement., , , and . CoRR, (2019)