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首页> 外文期刊>Journal of Mathematical Analysis and Applications >Solutions of the average cost optimality equation for Markov decision processes with weakly continuous kernel: The fixed-point approach revisited
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Solutions of the average cost optimality equation for Markov decision processes with weakly continuous kernel: The fixed-point approach revisited

机译:Markov决策过程的平均成本优化方程解决方案与弱连续内核:重新发现的定点方法

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摘要

This paper shows the existence of lower semicontinuous solutions of the average cost optimality equation for Markov decision processes with Borel spaces, possible unbounded cost function and weakly continuous transition kernel. This is done imposing a growth condition on the cost function, a Lyapunov stability condition on the transition kernel and a set of standard compactness-continuity conditions. The solution of the average cost optimality equation is obtained by means of the Banach fixed-point theorem. (C) 2018 Elsevier Inc. All rights reserved.
机译:本文显示了具有Borel空间的Markov决策过程的平均成本最优性方程的低半连续解决方案,可能的无界性成本函数和弱连续过渡内核。 这是对成本函数的生长条件,转换内核的Lyapunov稳定条件和一组标准紧凑性连续性条件施加。 通过Banach Fixed-Point定理获得平均成本最优性方程的溶液。 (c)2018 Elsevier Inc.保留所有权利。

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