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

Internet

https://www.mdpi.com/2073-8994/15/11/2048

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