Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization. Li, X., Mercurius, R. C., Taitler, A., Wang, X., Noaeen, M., Sanner, S., & Abdulhai, B. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pages 1474–1479, 2023. IEEE. ![Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization [link]](https://bibbase.org/img/filetypes/link.svg "link")
Arxiv bibtex 3 downloads @inproceedings{sanner:itsc23,
title={Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization},
author={Xiaocan Li and Ray Coden Mercurius and Ayal Taitler and Xiaoyu Wang and Mohammad Noaeen and Scott Sanner and Baher Abdulhai},
booktitle={2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)},
pages={1474--1479},
year={2023},
organization={IEEE},
url_arxiv = {https://arxiv.org/abs/2305.19291}
}
Downloads: 3
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