(Enter summary)
Abstract: With the increasing reliance on game theory as a foundation for auctions and
electronic commerce, ecient algorithms for computing equilibria in multiplayer
general-sum games are of great theoretical and practical interest. The computational
complexity of
nding a Nash equilibrium for a one-shot bimatrix game is a
well known open problem. This paper treats a related but distinct problem, that
of
nding a Nash equilibrium for an average-payo repeated bimatrix game, and
presents a polynomial-time ... (Update)
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BibTeX entry: (Update)
Michael Littman and Peter Stone. A polynomial-time nash equilibrium algorithm for repeated games. ACMEC, San Diego, CA, 2003. http://citeseer.ist.psu.edu/littman04polynomialtime.html More
@misc{ littman03polynomialtime,
author = "M. Littman and P. Stone",
title = "A polynomial-time nash equilibrium algorithm for repeated games",
text = "Michael Littman and Peter Stone. A polynomial-time nash equilibrium algorithm
for repeated games. ACMEC, San Diego, CA, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/littman04polynomialtime.html" }
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Complexity results about Nash equilibria
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Graphical models for game theory
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Friend-or-foe Q-learning in general-sum games
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Making more from less: Strategic demand reduction in the FCC.. (context) - Weber - 1997
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A polynomial-time Nash equilibrium algorithm for repeated ga..
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and the internet (context) - Papadimitriou, games - 2001
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FAucS: An FCC spectrum auction simulator for autonomous bidd..
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Implicit negotiation in repeated games
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3
Self-enforcing strategic demand reduction
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Ecient learning equilibrium
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