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Constrained Average Cost Markov Decision Chains

Published online by Cambridge University Press:  27 July 2009

Linn I. Sennott
Linn I. Sennott
Affiliation:
Department of Mathematics, Illinois State University, Normal, Illinois 61761
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Abstract

A Markov decision chain with denumerable state space incurs two types of costs — for example, an operating cost and a holding cost. The objective is to minimize the expected average operating cost, subject to a constraint on the expected average holding cost. We prove the existence of an optimal constrained randomized stationary policy, for which the two stationary policies differ on at most one state. The examples treated are a packet communication system with reject option and a single-server queue with service rate control.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 7 , Issue 1 , January 1993 , pp. 69 - 83
Copyright
Copyright © Cambridge University Press 1993

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