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Found 3 papers, 3 papers with code
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
Effective multi-intersection collaboration is pivotal for reinforcement-learning-based traffic signal control to alleviate congestion.
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
The effectiveness of traffic light control has been significantly improved by current reinforcement learning-based approaches via better cooperation among multiple traffic lights.
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge
Furthermore, we implement a scenario-shared Co-Train module to facilitate the learning of generalizable dynamics information across different scenarios.
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