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• W2044549125 abstract "This paper provides sufficient conditions for the optimal value in a discrete-time, finite, partially observed Markov decision process to be monotone on the space of state probability vectors ordered by likelihood ratios. The paper also presents sufficient conditions for the optimal policy to be monotone in a simple machine replacement problem, and, in the general case, for the optimal policy to be bounded from below by an easily calculated monotone function." @default.
• W2044549125 created "2016-06-24" @default.
• W2044549125 creator A5003984145 @default.
• W2044549125 date "1987-10-01" @default.
• W2044549125 modified "2023-09-23" @default.
• W2044549125 title "Some Monotonicity Results for Partially Observed Markov Decision Processes" @default.
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• W2044549125 doi "https://doi.org/10.1287/opre.35.5.736" @default.
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