Abstract
This note extends Wiseman [6] to more general reputation games with exogenous learning. Using Gossner's [4] relative entropy method, we provide an explicit lower bound on all Nash equilibrium payoffs of the long-lived player. The lower bound shows that when the exogenous signals are sufficiently noisy and the long-lived player is patient, he can be assured of a payoff strictly higher than his minmax payoff.
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