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JELIA
2004
Springer
13 years 10 months ago
Relational Markov Games
Alberto Finzi, Thomas Lukasiewicz
SIAMCO
2002
92views more  SIAMCO 2002»
13 years 5 months ago
Numerical Approximations for Stochastic Differential Games
The Markov chain approximation method is a widely used, relatively easy to use, and efficient family of methods for the bulk of stochastic control problems in continuous time, for...
Harold J. Kushner
EOR
2008
88views more  EOR 2008»
13 years 5 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
ICML
2006
IEEE
14 years 6 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley