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ECML
2003
Springer
14 years 1 months ago
Self-evaluated Learning Agent in Multiple State Games
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...
Koichi Moriyama, Masayuki Numao
UAI
2000
13 years 9 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
CISS
2008
IEEE
14 years 2 months ago
Equilibria and price of anarchy in parallel relay networks with node pricing
Abstract—We study pricing games in single-layer relay networks where the source routes traffic selfishly according to the strategic bids made by relays. Each relay’s bid incl...
Yufang Xi, Edmund M. Yeh
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
13 years 6 months ago
On the Rate of Convergence of Fictitious Play
Fictitious play is a simple learning algorithm for strategic games that proceeds in rounds. In each round, the players play a best response to a mixed strategy that is given by the...
Felix Brandt, Felix A. Fischer, Paul Harrenstein
EOR
2008
88views more  EOR 2008»
13 years 7 months ago
Selection of a correlated equilibrium in Markov stopping games
This paper deals with an extension of the concept of correlated strategies to Markov stopping games. The Nash equilibrium approach to solving nonzero-sum stopping games may give m...
David M. Ramsey, Krzysztof Szajowski