Learn Quasi-Stationary Distributions of Finite State Markov Chain

We propose a reinforcement learning (RL) approach to compute the expression of quasi-stationary distribution. Based on the fixed-point formulation of quasi-stationary distribution, we minimize the KL-divergence of two Markovian path distributions induced by candidate distribution and true target dis...

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Detalles Bibliográficos
Autores principales: Cai, Zhiqiang, Lin, Ling, Zhou, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774945/
https://www.ncbi.nlm.nih.gov/pubmed/35052159
http://dx.doi.org/10.3390/e24010133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774945/
https://www.ncbi.nlm.nih.gov/pubmed/35052159
http://dx.doi.org/10.3390/e24010133

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