Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

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Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning

Published:2024 Issue: Volume: Page:1-17
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen Wubing¹^ORCID,Yang Shangdong²^ORCID,Li Wenbin¹^ORCID,Hu Yujing³,Liu Xiao¹^ORCID,Gao Yang¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Netease Fuxi AI Laboratory, Netease, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu

Young Elite Scientists Sponsorship Program by the China Association for Science and Technology

State Key Laboratory of Novel Software Technology Project

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6979/4358928/10556581.pdf?arnumber=10556581

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