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A traffic environment simulator for driving policy development.

Project description

Tactics2D

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Code style: black Github license

About

Tactics2D is a Python library that provides diverse traffic environments, facilitating the development of driving decision-making models.

Quick Start

Install from PyPI

You can simply install Tactics2D from PyPI with the following command

pip install tactics2d

Install from Github

You can also install Tactics2D from from its source on GitHub.

[TODO]

If no errors occurs, you should have installed Tactics2D successfully.

Samples

[TODO: The command lines to run sample codes.]

Citation

If you find Tactics2D useful, please cite this in your publication.

@article{li2023tactics2d,
  title={Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making},
  author={Li, Yueyuan and Zhang, Songan and Jiang, Mingyang and Chen, Xingyuan and Yang, Ming},
  journal={arXiv preprint arXiv:2311.11058},
  year={2023}
}

Project details


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tactics2d-0.0.2-py3-none-any.whl (133.5 kB view hashes)

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