Relative Entropy of Correct Proximal Policy Optimization Algorithms with Modified Penalty Factor in Complex Environment

In the field of reinforcement learning, we propose a Correct Proximal Policy Optimization (CPPO) algorithm based on the modified penalty factor β and relative entropy in order to solve the robustness and stationarity of traditional algorithms. Firstly, In the process of reinforcement learning, this...

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Detalles Bibliográficos
Autores principales: Chen, Weimin, Wong, Kelvin Kian Loong, Long, Sifan, Sun, Zhili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031020/
https://www.ncbi.nlm.nih.gov/pubmed/35455103
http://dx.doi.org/10.3390/e24040440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031020/
https://www.ncbi.nlm.nih.gov/pubmed/35455103
http://dx.doi.org/10.3390/e24040440

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