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On Markov Games Played by Bayesian and Boundedly-Rational Players
Author(s) -
Muthukumaran Chandrasekaran,
Yingke Chen,
Prashant Doshi
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10566
Subject(s) - bounded rationality , mathematical economics , bayesian game , markov chain , constraint (computer aided design) , hierarchy , complete information , bayesian probability , mathematics , bounded function , computer science , game theory , repeated game , mathematical optimization , artificial intelligence , economics , statistics , geometry , mathematical analysis , market economy

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