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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Автор: Beggs, A
Формат: Journal article
Мова:English
Опубліковано: Berkley Electronic Press 2009
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Learning in Bayesian games with binary actions за авторством Beggs, A

Опубліковано 2005
Working paper
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Learning in Bayesian Games with Binary Actions. за авторством Beggs, A

Опубліковано 2005
Working paper