Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications-Reference-Cited by-同舟云学术

Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications

Author:

Li Xiang¹^ORCID,Lu Lingyun²,Ni Wei³^ORCID,Jamalipour Abbas⁴^ORCID,Zhang Dalin²^ORCID,Du Haifeng⁵

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. School of Software Engineering, Beijing Jiaotong University, Beijing, China

3. Commonwealth Scientific and Industrial Research Organisation, Sydney, NSW, Australia

4. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

5. Beijing Sankuai Online Technology Co.,Ltd, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference53 articles.

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