Tactics2D
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}
}
Metadata
Release files for tactic 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tactic-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for tactic-0.0.1-py3-none-any.whl |
Release files / tactic-0.0.1-py3-none-any.whl
| Download URL | tactic-0.0.1-py3-none-any.whl |
|---|---|
| Size | 133.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1fa8cf899cfe9220dd2f352a75505d03f7509d59a8f2340a84ccfd371276cca0
|
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BLAKE2b-256 checksum How to use checksums |
a636a2ae97f5b8c6c2933579a8e0fe9c8f0b3fe68daa00650a6caa2b9da47d34
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.0
|
Security for tactic 0.0.1
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