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Learning with whom to communicate using relational reinforcement learning.

, , , , and . AAMAS (2), page 1221-1222. IFAAMAS, (2009)

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Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , and . CoRR, (2014)Adaptive game AI with dynamic scripting., , , and . Mach. Learn., 63 (3): 217-248 (2006)Integrating Opponent Models with Monte-Carlo Tree Search in Poker., , and . Interactive Decision Theory and Game Theory, volume WS-10-03 of AAAI Technical Report, AAAI, (2010)Stratagus: An Open-Source Game Engine for Research in Real-Time Strategy Games, , , , and . Papers from the IJCAI Workshop on Reasoning Representation and Learning in Computer Games, (2005)Effective and Diverse Adaptive Game AI., , and . IEEE Trans. Comput. Intellig. and AI in Games, 1 (1): 16-27 (2009)Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game., , and . ICCBR, volume 3620 of Lecture Notes in Computer Science, page 5-20. Springer, (2005)Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , and . J. Artif. Intell. Res., (2011)Automatically Generating Game Tactics through Evolutionary Learning., , , and . AI Magazine, 27 (3): 75-84 (2006)Knowledge acquisition for adaptive game AI., , , and . Sci. Comput. Program., 67 (1): 59-75 (2007)Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker., , , , and . AAAI, page 1485-1486. AAAI Press, (2008)