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Estimation and Optimal Control for Constrained Markov Chains
D. J. Ma
Armand M. Makowski
Adam Shwartz
出版
Technion-I.I.T., Department of Electrical Engineering
, 1986
URL
http://books.google.com.hk/books?id=p5H9SgAACAAJ&hl=&source=gbs_api
註釋
The (optimal) design of many engineering systems can be adequately recast as a Markov decision process, where requirements on system performance are captured in the form of constraints. In this paper, various optimality results for constrained Markov decision processes are briefly reviewed; the corresponding implementation issues are discussed and shown to lead to several problems of parameter estimation. Simple situations where such constrained problems naturally arise, are presented in the context of queueing systems, in order to illustrate various points of the theory. In each case, the structure of the optimal policy is exhibited.