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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Main Authors: | JIANG, Qize, QIN, Minhao, SHI, Shengmin, SUN, Weiwei Sun, ZHENG, Baihua |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
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Online Access: | 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 |
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Institution: | Singapore Management University |
Language: | English |
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