MixLight: Mixed-Agent Cooperative Reinforcement Learning for Traffic Light Control-Reference-Cited by-同舟云学术

MixLight: Mixed-Agent Cooperative Reinforcement Learning for Traffic Light Control

Author:

Yang Ming¹,Wang Yiming¹,Yu Yang²^ORCID,Zhou Mingliang³^ORCID,U Leong Hou¹^ORCID

Affiliation:

1. SKL of Internet of Things for Smart City and Department of Computer Information Science, University of Macau, Macao, China

2. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

3. School of Computer Science, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Science and Technology Development Fund Macau SAR

Research Grant of University of Macau

Wuyi University Hong Kong and Macau joint Research Fund

Human Resources and Social Security Bureau Project of Chongqing

Guangdong OPPO MOBILE Telecommunications Corp., Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference30 articles.

2. SCATS: Sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic;Lowrie,1990

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