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Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

Yisha Li Ya Zhang Xinde Li Changyin Sun

自动化学报（英文版）2024，Vol.11Issue(9)：1987-1998,12.

自动化学报（英文版）2024，Vol.11Issue(9)：1987-1998,12.DOI:10.1109/JAS.2024.124365

Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

Yisha Li ¹Ya Zhang ¹Xinde Li ¹Changyin Sun¹

作者信息

1. School of Automation,Southeast University,Nanjing 210096||Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,China
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摘要

关键词

Human-machine cooperation/mixed domain atten-tion mechanism/multi-agent reinforcement learning/spatio-temporal feature/traffic signal control

Key words

Human-machine cooperation/mixed domain atten-tion mechanism/multi-agent reinforcement learning/spatio-temporal feature/traffic signal control

引用本文复制引用

Yisha Li,Ya Zhang,Xinde Li,Changyin Sun..Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control[J].自动化学报（英文版）,2024,11(9):1987-1998,12.

基金项目

This work was supported by the National Science and Technology Major Project(2021ZD0112702),the National Natural Science Foundation(NNSF)of China(62373100,62233003),and the Natural Science Foundation of Jiangsu Province of China(BK20202006). （2021ZD0112702）

自动化学报（英文版）

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