Efficient Communications in Multi-Agent Reinforcement Learning for Mobile Applications-Reference-Cited by-同舟云学术

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Efficient Communications in Multi-Agent Reinforcement Learning for Mobile Applications

Published:2024-09 Issue:9 Volume:23 Page:12440-12454
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Lv Zefang¹^ORCID,Xiao Liang¹^ORCID,Du Yousong¹^ORCID,Zhu Yunjun¹,Han Shuai²^ORCID,Liu Yong-Jin³^ORCID

Affiliation:

1. Department of Informatics and Communication Engineering and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Xiamen University, Xiamen, China

2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

3. Department of Computer Science and Technology, Tsinghua University, Beijing, China

Funder

Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678756/10516313.pdf?arnumber=10516313

Reference38 articles.

1. Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks

2. Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

3. Learning to communicate with deep multi-agent reinforcement learning;Foerster

4. TarMAC: Targeted multi-agent communication;Das

5. Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

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