Secret Correlation in Repeated Games with Imperfect Monitoring

Olivier Gossner and Tristan Tomala
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Olivier Gossner: PJSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, MEDS, Northwestern University - Northwestern University [Evanston], PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: We characterize the maximum payoff that a team can guarantee against another in a class of repeated games with imperfect monitoring. Our result relies on the optimal tradeoff for the team between optimization of stage payoffs and generation of signals for future correlation.

Keywords: stochastic process; min-max values; signals; entropy; repeated games; secret correlation (search for similar items in EconPapers)
Date: 2007-05
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Citations: View citations in EconPapers (16)

Published in Mathematics of Operations Research, 2007, Vol.32,n°2, pp.413-424. ⟨10.1287/moor.1060.0248⟩

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Working Paper: Secret Correlation in Repeated Games with Imperfect Monitoring (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:hal-00487954

DOI: 10.1287/moor.1060.0248

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