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

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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Bibliographic Details
Main Authors: Wei Li, Yi Liu, Yan Ma, Kang Xu, Jiang Qiu, Zhongxue Gan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neurorobotics
Subjects:
Monte Carlo tree search (MCTS)
path planning
neural network
Markov decision process (MDP)
collective intelligent algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2023.1039644/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2023.1039644/full

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