On the convergence of reinforcement learning

This paper examines the convergence of payoffs and strategies in Erev and Roth's model of reinforcement learning. When all players use this rule it eliminates iteratively dominated strategies and in two-person constant-sum games average payoffs converge to the value of the game. Strategies conv...

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书目详细资料
主要作者: Beggs, A
格式: Working paper
出版: University of Oxford 2002