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![]() | Document Date: 2012-02-02 15:47:56Open Document File Size: 251,56 KBShare Result on FacebookCityINRIA / Berlin / Harrisburg / /CompanyPrentice-Hall / Neural Information Processing Systems / Military Service Publishing Co / /CountryFrance / /Currencypence / / /FacilityAlberta Michael Bowling University / Monte-Carlo Tree Search Joel Veness University of Alberta Marc Lanctot University / /IndustryTermonline / tree search / value analysis tool / online planning algorithm / online estimate / Online Monte-Carlo / sparse sampling algorithm / exhaustive search / maximum search depth / larger search horizon / online and offline estimation / lookahead search / exhaustive search technique / search tree / online estimation / search effort / learning algorithms / /MusicGroupGo / General / /OrganizationUniversity of Alberta / /PersonSid Sackson / Mark H. Winands / Barry L. Nelson / Monte-Carlo Tree / Dimitri P. Bertsekas / Monte-Carlo Go / Sander Bakkes / H. Jaap van den Herik / Pieter Spronck / Michael Bowling / Istvan Szita / Yizao Wang / Martha White / David Silver / Donald X. Vaccarino / H. Jaap Herik / Ai / Csaba Szepesv´ari / Jiaqiao Hu / Peter Norvig / Gerald Tesauro / Sylvain Gelly / Guillaume Chaslot / B. Chaslot / John N. Tsitsiklis / Peter Auer / Todd W. Neller / Alan Fern / John Scarne / Carlo Tree / Radha-Krishna Balla / Stuart Russell / Andrew Y. Ng / Levente Kocsis / Michael C. Fu / Game Playing / Steven I. Marcus / David A. Castanon / Michael J. Kearns / Joel Veness / Yishay Mansour / Olivier Teytaud / Mark H.M. Winands / Hyeong S. Chang / Guillaume M. Chaslot / Alberta Michael / Alberta Marc / /PositionRt / General / player / representative / /ProgrammingLanguageE / /PublishedMediumMachine Learning / /TechnologyAV / UCT algorithm / Monte-Carlo Tree Search algorithms / POMCP algorithm / Machine Learning / sparse sampling algorithm / Adaptive Sampling Algorithm / Reinforcement learning algorithms / Rollout algorithms / artificial intelligence / simulation / online planning algorithm / /SocialTag |