771 search results - page 108 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
129
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CONCUR
2006
Springer
15 years 5 months ago
2006
Springer
A stochastic graph game is played by two players on a game graph with probabilistic transitions. We consider stochastic graph games with -regular winning conditions specified as Ra...
117
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AAAI
2008
15 years 4 months ago
2008
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
134
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EWRL
2008
15 years 3 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
EDM
2010
15 years 3 months ago
2010
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
102
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IJCAI
2007
15 years 3 months ago
2007
We consider the fundamental problem of monitoring (i.e. tracking) the belief state in a dynamic system, when the model is only approximately correct and when the initial belief st...