Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning

Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning

For mobile agent path planning, traditional path planning algorithms frequently induce abrupt variations in path curvature and steering angles, increasing the risk of lateral tire slippage and undermining operational safety. Concurrently, conventional reinforcement learning methods struggle to conve...

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Bibliographic Details
Main Authors: Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Systems
Subjects:
reinforcement learning
path planning
deep Q-network
Online Access:https://www.mdpi.com/2079-8954/13/5/385
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