Learning in Bayesian Games with Binary Actions.

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...

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书目详细资料
主要作者: Beggs, A
格式: Journal article
语言:English
出版: Berkley Electronic Press 2009