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

作者：Yisha Li;Ya Zhang;Xinde Li;Changyin Sun

作者单位：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,ChinaSchool of Automation,Southeast University,Nanjing 210096||Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,ChinaSchool of Automation,Southeast University,Nanjing 210096||Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,ChinaSchool 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

中文关键词：Human-machine cooperationmixed domain atten-tion mechanismmulti-agent reinforcement learningspatio-temporal featuretraffic signal control

英文关键词：Human-machine cooperationmixed domain atten-tion mechanismmulti-agent reinforcement learningspatio-temporal featuretraffic signal control

刊名：《自动化学报（英文版）》 2024 (9)

页码/页数：1987-1998,12

基金：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).

DOI：10.1109/JAS.2024.124365