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» On Learning Algorithms for Nash Equilibria
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79
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ATAL
2004
Springer
15 years 2 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
97
Voted
ECCC
2006
71views more  ECCC 2006»
14 years 9 months ago
Polynomial Algorithms for Approximating Nash Equilibria of Bimatrix Games
We focus on the problem of computing an -Nash equilibrium of a bimatrix game, when is an absolute constant. We present a simple algorithm for computing a 3 4 -Nash equilibrium for ...
Spyros C. Kontogiannis, Panagiota N. Panagopoulou,...
ICML
2003
IEEE
15 years 10 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
STOC
2005
ACM
122views Algorithms» more  STOC 2005»
15 years 9 months ago
The price of anarchy of finite congestion games
We consider the price of anarchy of pure Nash equilibria in congestion games with linear latency functions. For asymmetric games, the price of anarchy of maximum social cost is ( ...
George Christodoulou, Elias Koutsoupias
STOC
2009
ACM
145views Algorithms» more  STOC 2009»
15 years 10 months ago
Intrinsic robustness of the price of anarchy
The price of anarchy (POA) is a worst-case measure of the inefficiency of selfish behavior, defined as the ratio of the objective function value of a worst Nash equilibrium of a g...
Tim Roughgarden