179 search results - page 3 / 36 » On Learning Algorithms for Nash Equilibria |
STOC
2004
ACM
15 years 9 months ago
2004
ACM
107
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Correlated equilibria are a generalization of Nash equilibria that permit agents to act in a correlated manner and can therefore, model learning in games. In this paper we define...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
We formulate the problem of computing equilibria in multiplayer games represented by arbitrary undirected graphs as a constraint satisfaction problem and present two algorithms. T...
COLT
2003
Springer
15 years 2 months ago
2003
Springer
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...