Preprint
Aug 2026
SelectLight: Learning to Select Signal Plans Generated by Distributed Model Predictive Control for Urban Traffic Networks
SelectLight is proposed, which implements post-optimization selection by allowing a multi-agent reinforcement learning (MARL) policy to choose directly from plans generated online by DMPC, and achieves the best delay-related performance and that its advantage widens with demand.
Lyuzhou Luo, Chaopeng Tan, Zheng-Yong Gao et al.
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