Title: Non-randomized control of constrained Markov decision processes
Abstract: This paper presents results concerning the optimal control of constrained Markov decision processes with expected-cost criteria using non-randomized policies. A dynamic programming approach is used to construct optimal policies. The convergence of the finite horizon value function to the infinite horizon value function is also shown. A simple example application is presented
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
Indexed In: ['crossref']
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