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Discounted Cost Markov Decision Processes with a Constraint

Published online by Cambridge University Press:  27 July 2009

Kazuyoshi Wakuta
Kazuyoshi Wakuta
Affiliation:
Nagaoka Technical College, 888 Nishikatakai, Nagaoka, Niigata 940, Japan
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Abstract

We consider a discounted cost Markov decision process with a constraint. Relating this to a vector-valued Markov decision process, we prove that there exists a constrained optimal randomized semistationary policy if there exists at least one policy satisfying a constraint. Moreover, we present an algorithm by which we can find the constrained optimal randomized semistationary policy, or we can discover that there exist no policies satisfying a given constraint.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 12 , Issue 2 , April 1998 , pp. 177 - 187
Copyright
Copyright © Cambridge University Press 1998

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