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Existence of Optimal Markov Solutions for Ergodic Control of Markov Processes

机译:马尔可夫过程遍历控制最优马尔可夫解的存在性

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摘要

For the ergodic control problem for a large class of controlled Markov processes in continuous time, existence of an optimal ergodic solution and an optimal, possibly time-inhomogeneous Markov solution, in both cases corresponding to a stationary Markov relaxed control policy, are known separately under suitable conditions (Bhatt and Borkar, 1996). The aim of this article is to refine this result to establish the existence of an optimal time-homogeneous Markov solution. The proof is based upon Krylov's Markov selection procedure.
机译:对于连续时间下的一大类受控Markov过程的遍历控制问题,分别已知存在最优遍历解和最优,可能时间不均匀的Markov解,这两种情况都对应于平稳的Markov松弛控制策略。合适的条件(Bhatt和Borkar,1996)。本文的目的是完善此结果,以建立最佳时间均质马尔可夫解的存在。证明是基于Krylov的Markov选择过程。

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