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• W2098802268 abstract "This paper is concerned with the adaptive control problem, over the infinite horizon, for partially observable Markov decision processes whose transition functions are parameterized by an unknown vector. We treat finite models and impose relatively mild assumptions on the transition function. Provided that a sequence of parameter estimates converging in probability to the true parameter value is available, we show that the certainty equivalence adaptive policy is optimal in the long-run average sense." @default.
• W2098802268 created "2016-06-24" @default.
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• W2098802268 date "2011-08-01" @default.
• W2098802268 modified "2023-09-24" @default.
• W2098802268 title "On the adaptive control of a class of partially observed Markov decision processes" @default.
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• W2098802268 doi "https://doi.org/10.1016/j.jmaa.2011.03.004" @default.
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