205 search results - page 9 / 41 » One-Counter Stochastic Games |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
ICASSP
2011
IEEE
12 years 11 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...
UAI
2000
13 years 9 months ago
2000
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...
SODA
2004
ACM
13 years 9 months ago
2004
ACM
We study perfect-information stochastic parity games. These are two-player nonterminating games which are played on a graph with turn-based probabilistic transitions. A play resul...