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Title: The exponential cost optimality for finite horizon semi-Markov decision processes (English)
Author: Huo, Haifeng
Author: Wen, Xian
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 58
Issue: 3
Year: 2022
Pages: 301-319
Summary lang: English
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Category: math
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Summary: This paper considers an exponential cost optimality problem for finite horizon semi-Markov decision processes (SMDPs). The objective is to calculate an optimal policy with minimal exponential costs over the full set of policies in a finite horizon. First, under the standard regular and compact-continuity conditions, we establish the optimality equation, prove that the value function is the unique solution of the optimality equation and the existence of an optimal policy by using the minimum nonnegative solution approach. Second, we establish a new value iteration algorithm to calculate both the value function and the $\epsilon$-optimal policy. Finally, we give a computable machine maintenance system to illustrate the convergence of the algorithm. (English)
Keyword: semi-Markov decision processes
Keyword: exponential cost
Keyword: finite horizon
Keyword: optimality equation
Keyword: optimal policy
MSC: 60E20
MSC: 90C40
idZBL: Zbl 07613047
idMR: MR4494093
DOI: 10.14736/kyb-2022-3-0301
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Date available: 2022-10-06T14:43:11Z
Last updated: 2023-03-13
Stable URL: http://hdl.handle.net/10338.dmlcz/151031
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