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20062025
most citedAverage optimality for continuous-time Markov decision processes in polish spaces

51 citations · 94 across the 13 of their papers we have counts for

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7 papers · 1 filter

math.PR2025

Reach-avoid semi-Markov decision processes with time-varying obstacles

Yanyun Li, Xianping Guo

We consider the maximal reach-avoid probability to a target in finite horizon for semi-Markov decision processes with time-varying obstacles. Since the variance of the obstacle set…

math.PR2021

Optimal stopping time on semi-Markov processes with finite horizon

Fang Chen, Xianping Guo, Zhong-Wei Liao

In this paper, we consider the optimal stopping problem on semi-Markov processes (SMPs) with finite horizon, and aim to establish the existence and computation of optimal stopping…

math.PR2021★ 1 cited

Optimal stopping time on discounted semi-Markov processes

Fang Chen, Xianping Guo, Zhong-Wei Liao

This paper attempts to study the optimal stopping time for semi-Markov processes (SMPs) under the discount optimization criteria with unbounded cost rates. In our work, we introduc…

math.PR2020

Estimate the exponential convergence rate of f-ergodicity via spectral gap

Xianping Guo, Zhong-Wei Liao

This paper studies the f-ergodicity and its exponential convergence rate for continuous-time Markov chain. Assume f is square integrable, for reversible Markov chain, it is proved…

math.PR2011★ 38 cited

Discounted continuous-time constrained Markov decision processes in Polish spaces

Xianping Guo, Xinyuan Song

This paper is devoted to studying constrained continuous-time Markov decision processes (MDPs) in the class of randomized policies depending on state histories. The transition rate…

math.PR2008

Existence and regularity of a nonhomogeneous transition matrix under measurability conditions

Liuer Ye, Xianping Guo, Onésimo Hernández-Lerma

This paper is about the existence and regularity of the transition probability matrix of a nonhomogeneous continuous-time Markov process with a countable state space. A standard ap…