A self-learning Monte Carlo tree search algorithm for robot path planning

This paper proposes a self-learning Monte Carlo tree search algorithm (SL-MCTS), which has the ability to continuously improve its problem-solving ability in single-player scenarios. SL-MCTS combines the MCTS algorithm with a two-branch neural network (PV-Network). The MCTS architecture can balance...

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Detalles Bibliográficos
Autores principales: Li, Wei, Liu, Yi, Ma, Yan, Xu, Kang, Qiu, Jiang, Gan, Zhongxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358331/
https://www.ncbi.nlm.nih.gov/pubmed/37483541
http://dx.doi.org/10.3389/fnbot.2023.1039644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358331/
https://www.ncbi.nlm.nih.gov/pubmed/37483541
http://dx.doi.org/10.3389/fnbot.2023.1039644

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