771 search results - page 37 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
125
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CORR
2006
Springer
15 years 1 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
184
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CSL
2012
Springer
13 years 9 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
132
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QEST
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
120
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FLAIRS
2004
15 years 3 months ago
2004
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
IPPS
2000
IEEE
15 years 6 months ago
2000
IEEE
ThispaperpresentsatheoreticalframeworkbasedonBayesian decision theory for analyzing recently reported results on implicit coscheduling of parallel applications on clusters of work...