# rl4metro

**Repository Path**: wangcheng23/rl4metro

## Basic Information

- **Project Name**: rl4metro
- **Description**: Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-03-01
- **Last Updated**: 2024-03-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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}
}
```