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Entropy and codification in repeated games with imperfect monitoring

Olivier Gossner and Tristan Tomala

No 2003033, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: We characterize the min max values of a class of repeated games with imperfect monitoring. Our result relies on the optimal trade-off for the team formed by punishing players between optimization of stage-payoffs and generation of signals for future correlation. Amounts of correlation are measured through the entropy function. Our theorem on min max values stems from a more general characterization of optimal strategies for a class of optimization problems.

Date: 2003-05
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