Networked and Deep Reinforcement Learning-Based Control for Autonomous Marine Vehicles: A Survey-Reference-Cited by-同舟云学术

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Networked and Deep Reinforcement Learning-Based Control for Autonomous Marine Vehicles: A Survey

Published:2024 Issue: Volume: Page:1-14
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Wang Yu-Long¹^ORCID,Wang Cheng-Cheng¹^ORCID,Han Qing-Long²^ORCID,Wang Xiaofan³^ORCID

Affiliation:

1. Shanghai Key Laboratory of Power Station Automation Technology and the School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

3. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

Funder

National Natural Science Foundation of China

Project of Science and Technology Commission of Shanghai Municipality, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/6376248/10402564.pdf?arnumber=10402564

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Safety-Critical Pursuit-Evasion Differential Game Guidance for Multiple Underactuated Autonomous Surface Vehicles;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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