Corpus ID: 201652491

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control

@article{Wang2019STMARLAS,
  title={STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control},
  author={Yanan Wang and Tong Xu and Xin Niu and Chang Tan and Enhong Chen and Hui Xiong},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.10577}
}
The development of intelligent traffic light control systems is essential for smart transportation management. While some efforts have been made to optimize the use of individual traffic lights in an isolated way, related studies have largely ignored the fact that the use of multi-intersection traffic lights is spatially influenced and there is a temporal dependency of historical traffic status for current traffic light control. To that end, in this paper, we propose a novel SpatioTemporal… Expand
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