Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles

被引：0
|
作者：
Sun, Ke [1 ]
Yu, Huan [1 ]
机构：
[1] Hong Kong University of Science and Technology (Guangzhou), Thrust of Intelligent Transportation, Guangdong, Guangzhou, China
来源：
arXiv |
关键词：
Autonomous Vehicles - Complex task - Decisions makings - Lane change - Lane change regulation - Macroscopic traffic models - Multi-agent reinforcement learning - Reinforcement learnings - Traffic efficiency - Traffic flow;
D O I：
暂无
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学科分类号：
摘要：
64
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