Gradient estimation for smooth stopping criteria

Pub Date : 2022-06-15 DOI:10.1017/apr.2022.7
B. Heidergott, Yijie Peng
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Abstract

Abstract We establish sufficient conditions for differentiability of the expected cost collected over a discrete-time Markov chain until it enters a given set. The parameter with respect to which differentiability is analysed may simultaneously affect the Markov chain and the set defining the stopping criterion. The general statements on differentiability lead to unbiased gradient estimators.
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平滑停止准则的梯度估计
摘要我们建立了离散时间马尔可夫链上收集的期望成本可微性的充分条件,直到它进入给定的集合。分析可微性的参数可能同时影响马尔可夫链和定义停止准则的集合。关于可微性的一般陈述导致了无偏梯度估计。
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