Predator-Prey Reward Based Q-Learning Coverage Path Planning for Mobile Robot

Predator-Prey Reward Based Q-Learning Coverage Path Planning for Mobile Robot

Coverage Path Planning (CPP in short) is a basic problem for mobile robot when facing a variety of applications. <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-Learning based coverage path planning algorithms are beginning to be explore...

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Bibliographic Details
Main Authors: Meiyan Zhang, Wenyu Cai, Lingfeng Pang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Coverage path planning
predator-prey model
reinforcement learning
Q-learning algorithm
mobile robot
Online Access:https://ieeexplore.ieee.org/document/10064303/

Internet

https://ieeexplore.ieee.org/document/10064303/

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