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## `PyTSC`: Traffic Signal Control Environment for Multi-Agent Reinforcement Learning

PyTSC is a Python library for training reinforcement learning (RL) models for traffic signal control (TSC). It lets you simulate traffic scenarios and train agents using different RL/MARL algorithms. You can either **SUMO or CityFlow** simulator. The library is **modular** so *you can modify MDP formulations as per as your need.*

Contributions from the community are welcome and appreciated!

## Citation

If you use this repository for your research, please cite it using the following BibTeX entry:

```bibtex
@article{bokade2025pytsc,
  title={Pytsc: A unified platform for multi-agent reinforcement learning in traffic signal control},
  author={Bokade, Rohit and Jin, Xiaoning},
  journal={Sensors},
  volume={25},
  number={5},
  pages={1302},
  year={2025},
  publisher={MDPI}
}

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