Multi-Agent Transfer Reinforcement Learning for Resource Management in Underwater Acoustic Communication Networks-Reference-Cited by-同舟云学术

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Multi-Agent Transfer Reinforcement Learning for Resource Management in Underwater Acoustic Communication Networks

Published:2023 Issue: Volume: Page:1-13
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Wang Hui¹^ORCID,Wu Hongrun¹^ORCID,Chen Yingpin¹^ORCID,Ma Biyang²^ORCID

Affiliation:

1. School of Physics and Information Engineering & Key Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province, Minnan Normal University, Zhangzhou, China

2. School of Computer Science, Minnan Normal University, Zhangzhou, China

Funder

National Natural Science Foundation of China

Fujian Provincial Natural Science

Fundamental Research Funds for the principal fund project of Minnan Normal University

Fujian University Key Laboratory of Intelligent Ecotourism and Leisure Agriculture

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/10328461.pdf?arnumber=10328461

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