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ATAL
2009
Springer
14 years 22 days ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
AAAI
2007
13 years 8 months ago
Learning Equilibrium in Resource Selection Games
We consider a resource selection game with incomplete information about the resource-cost functions. All the players know is the set of players, an upper bound on the possible cos...
Itai Ashlagi, Dov Monderer, Moshe Tennenholtz
COLT
2004
Springer
13 years 11 months ago
Deterministic Calibration and Nash Equilibrium
Abstract. We provide a natural learning process in which the joint frequency of empirical play converges into the set of convex combinations of Nash equilibria. In this process, al...
Sham Kakade, Dean P. Foster
UAI
2008
13 years 7 months ago
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
Greg Hines, Kate Larson
ICCCI
2011
Springer
12 years 5 months ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon