Multi-agent reinforcement learning for traffic signal control through universal communication method

Multi-agent reinforcement learning for traffic signal control through universal communication method

How to coordinate the communication among intersections effectively in real complex traffic scenarios with multi-intersection is challenging. Existing approaches only enable the communication in a heuristic manner without considering the content/importance of information to be shared. In this paper,...

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書目詳細資料
Main Authors:	JIANG, Qize, QIN, Minhao, SHI, Shengmin, SUN, Weiwei Sun, ZHENG, Baihua
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2022
主題:	Transportation traffic control UniComm Databases and Information Systems Operations Research, Systems Engineering and Industrial Engineering
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/7193 https://ink.library.smu.edu.sg/context/sis_research/article/8196/viewcontent/Multi_Agent_Reinforcement_Learning_for_Traffic_Signal_Control_through_UniversalCommunication_Method__3_.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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