Learning in Monotone Bayesian Games

<p>This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds. A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at simi...

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Bibliographic Details
Main Author: Beggs, A
Format: Journal article
Published: American Institute of Mathematical Sciences 2015