179 search results - page 3 / 36 » On Learning Algorithms for Nash Equilibria |
STOC
2004
ACM
14 years 6 months ago
2004
ACM
ICASSP
2011
IEEE
12 years 9 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
13 years 12 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
13 years 11 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
13 years 11 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...