Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine - Reinforcement theory - Document - PDFSEARCH.IO - Document Search Engine

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	Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine Add to Reading List Document Date: 2015-02-11 05:55:08 Open Document File Size: 967,11 KB Share Result on Facebook Company Springer International Publishing Switzerland / / / Facility Model building / D. K. Levine Washington University / / IndustryTerm real-world applications / basic algorithms / baseline algorithms / bayesian network / online learning / Internet experiment / computing / Internet experiments / no-regret learning algorithms / learning algorithms / / Organization Washington University in St. Louis / D. K. Levine Washington University / / Person Nash Equilibrium / Wenlin Chen / David K. Levine / Ann Math Artif Intell / / Position probability player / payoff player / human player / Player 1 plays strategy / foregone payoff Model / Player 2 plays strategy / player / Player 2 Strategy / Hidden Markov model / / Product RL / / ProgrammingLanguage FP / / ProvinceOrState Nebraska / / Technology existing learning algorithms / baseline algorithms / artificial intelligence / two basic algorithms / RL algorithms / two learning algorithms / HMP algorithm / no-regret learning algorithms / machine learning / 3 Related work Two algorithms / simulation / EM algorithm / RL-based algorithms / / SocialTag Science Best response Normal-form game Nash equilibrium Repeated game Strategy Reinforcement learning Machine learning Outcome Game theory