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A note on optimality conditions for continuous-time Markov decisionprocesses with average cost criterion

机译:关于具有平均成本准则的连续时间马尔可夫决策过程的最优性条件的注记

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摘要

This note deals with continuous-time Markov decision processes with a denumerable state space and the average cost criterion. The transition rates are allowed to be unbounded, and the action set is a Borel space. We give a new set of conditions under which the existence of optimal stationary policies is ensured by using the optimality inequality. Our results are illustrated with a controlled queueing model. Moreover, we use an example to show that our conditions do not imply the existence of a solution to the optimality equations in the previous literature
机译:本说明涉及具有可数状态空间和平均成本准则的连续时间Markov决策过程。过渡速率是不受限制的,并且动作集是Borel空间。我们给出了一组新的条件,在这些条件下,通过使用最优性不平等来确保最优平稳策略的存在。我们的结果通过受控排队模型进行说明。此外,我们使用一个例子来说明我们的条件并不意味着存在先前文献中最优方程的解。

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