A Novel Path Planning Approach for Mobile Robot in Radioactive Environment Based on Improved Deep Q Network Algorithm

A Novel Path Planning Approach for Mobile Robot in Radioactive Environment Based on Improved Deep Q Network Algorithm

The path planning problem of nuclear environment robots refers to finding a collision-free path under the constraints of path length and an accumulated radiation dose. To solve this problem, the Improved Dueling Deep Double Q Network algorithm (ID3QN) based on asymmetric neural network structure was...

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Bibliographic Details
Main Authors:	Zhiqiang Wu, Yebo Yin, Jie Liu, De Zhang, Jie Chen, Wei Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Symmetry
Subjects:	deep reinforcement learning Deep Q Network (DQN) Improved Dueling Deep Double Q Network (ID3QN) nuclear environment mobile robot
Online Access:	https://www.mdpi.com/2073-8994/15/11/2048

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