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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)

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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)Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling., , and . CoRR, (2014)Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker., , , , and . AAAI, page 1485-1486. AAAI Press, (2008)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)Abstraction and Generalization in Reinforcement Learning: A Summary and Framework., , and . ALA, volume 5924 of Lecture Notes in Computer Science, page 1-32. Springer, (2009)MCRNR: Fast Computing of Restricted Nash Responses by Means of Sampling., , and . Interactive Decision Theory and Game Theory, volume WS-10-03 of AAAI Technical Report, AAAI, (2010)Learning with whom to communicate using relational reinforcement learning., , , , and . AAMAS (2), page 1221-1222. IFAAMAS, (2009)Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning., , , and . AAAI, page 1535-1540. AAAI Press / The MIT Press, (2005)