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rl4metro
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# rl4metro ## License rl4metro is licensed under the [Apache-2.0](https://github.com/apache/tvm/blob/main/LICENSE) license. ## Getting Started ``` conda create -n metro-env python==3.8.15 conda activate metro-env pip install -r requirements.txt python train.py ``` ## Cite Please consider citing our paper if you use code or ideas from this project: Xie, Haiqin, Cheng Wang, Shicheng Li, Yue Zhang, and Shanshan Wang. "Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning." *arXiv preprint arXiv:2304.13443* (2023). ``` @misc{xie2023optimizing, title={Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning}, author={Haiqin Xie and Cheng Wang and Shicheng Li and Yue Zhang and Shanshan Wang}, year={2023}, eprint={2304.13443}, archivePrefix={arXiv}, primaryClass={cs.AI} } ```