Improved Dyna-Q: A Reinforcement Learning Method Focused via Heuristic Graph for AGV Path Planning in Dynamic Environments

Improved Dyna-Q: A Reinforcement Learning Method Focused via Heuristic Graph for AGV Path Planning in Dynamic Environments

Dyna-Q is a reinforcement learning method widely used in AGV path planning. However, in large complex dynamic environments, due to the sparse reward function of Dyna-Q and the large searching space, this method has the problems of low search efficiency, slow convergence speed, and even inability to...

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Bibliographic Details
Main Authors: Yiyang Liu, Shuaihua Yan, Yang Zhao, Chunhe Song, Fei Li
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Drones
Subjects:
path planning
complex dynamic environment
Dyna-Q
reinforcement learning
Online Access:https://www.mdpi.com/2504-446X/6/11/365

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