most citedLarge-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning

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cs.AI2025

Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control

Yuli Zhang, Shangbo Wang, Dongyao Jia +4

Reinforcement learning (RL) emerges as a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, with deep neural networks subs…

cs.AI2023★ 1 cited

Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning

Hankang Gu, Shangbo Wang, Xiaoguang Ma +4

Multi-agent Deep Reinforcement Learning (MADRL) based traffic signal control becomes a popular research topic in recent years. To alleviate the scalability issue of completely cent…