UAV Path Planning Based on Multi-Layer Reinforcement Learning Technique-Reference-Cited by-同舟云学术

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UAV Path Planning Based on Multi-Layer Reinforcement Learning Technique

Published:2021 Issue: Volume:9 Page:59486-59497
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cui Zhengyang^ORCID,Wang Yong^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09406006.pdf?arnumber=9406006

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2. Revolutionizing Remote-Controlled Aviation With Wi-Fi-Enabled Mini Aircraft;Advances in Computational Intelligence and Robotics;2024-05-31

3. A Novel Path Planning Approach Based on Exploration-efficient Reinforcement Learning;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments;Machines;2024-03-18

5. HiMAQ: Hierarchical multi-agent Q-learning-based throughput and fairness improvement for UAV-Aided IoT networks;Journal of Network and Computer Applications;2024-03

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