tmrl


Nametmrl JSON
Version 0.6.6 PyPI version JSON
download
home_pagehttps://github.com/trackmania-rl/tmrl
SummaryNetwork-based framework for real-time robot learning
upload_time2024-05-15 20:29:53
maintainerNone
docs_urlNone
authorYann Bouteiller, Edouard Geze
requires_pythonNone
licenseMIT
keywords reinforcement learning robot learning trackmania self driving roborace
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # TMRL

[![PyPI version](https://badge.fury.io/py/tmrl.svg)](https://badge.fury.io/py/tmrl)
[![PyPI - License](https://img.shields.io/pypi/l/tmrl?color=blue)](https://github.com/trackmania-rl/tmrl/blob/master/LICENSE)
[![DOI](https://zenodo.org/badge/277973609.svg)](https://zenodo.org/badge/latestdoi/277973609)

| **`API reference`**                                                                                                                         |
|---------------------------------------------------------------------------------------------------------------------------------------------|
| [![Documentation Status](https://readthedocs.org/projects/tmrl/badge/?version=latest)](https://tmrl.readthedocs.io/en/latest/?badge=latest) |


`tmrl` is a fully-fledged distributed RL framework for robotics, designed to help you train Deep Reinforcement Learning AIs in real-time applications.

`tmrl` comes with a readily implemented pipeline for the TrackMania 2020 video game.

Find all information on our [GitHub page](https://github.com/trackmania-rl/tmrl).

            

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