Learning in Bayesian Games with Binary Actions.

Learning in Bayesian Games with Binary Actions.

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This paper considers a simple adaptive learning rule in Bayesian games with binary actions where players employ threshold strategies. Global convergence results are given for supermodular games and potential games. If there is a unique equilibrium, players’ strategies converge almost surely to it. E...

書誌詳細
第一著者:	Beggs, A
フォーマット:	Journal article
言語:	English
出版事項:	Berkley Electronic Press 2009

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