# 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).
Raw data
{
"_id": null,
"home_page": "https://github.com/trackmania-rl/tmrl",
"name": "tmrl",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "reinforcement learning, robot learning, trackmania, self driving, roborace",
"author": "Yann Bouteiller, Edouard Geze",
"author_email": "yann.bouteiller@polymtl.ca, edouard.geze@hotmail.fr",
"download_url": "https://files.pythonhosted.org/packages/dd/26/28d901332664bfe8be8c0b827c6d905012c4e894a2386fe12277ade1dff7/tmrl-0.6.6.tar.gz",
"platform": null,
"description": "# TMRL\r\n\r\n[![PyPI version](https://badge.fury.io/py/tmrl.svg)](https://badge.fury.io/py/tmrl)\r\n[![PyPI - License](https://img.shields.io/pypi/l/tmrl?color=blue)](https://github.com/trackmania-rl/tmrl/blob/master/LICENSE)\r\n[![DOI](https://zenodo.org/badge/277973609.svg)](https://zenodo.org/badge/latestdoi/277973609)\r\n\r\n| **`API reference`** |\r\n|---------------------------------------------------------------------------------------------------------------------------------------------|\r\n| [![Documentation Status](https://readthedocs.org/projects/tmrl/badge/?version=latest)](https://tmrl.readthedocs.io/en/latest/?badge=latest) |\r\n\r\n\r\n`tmrl` is a fully-fledged distributed RL framework for robotics, designed to help you train Deep Reinforcement Learning AIs in real-time applications.\r\n\r\n`tmrl` comes with a readily implemented pipeline for the TrackMania 2020 video game.\r\n\r\nFind all information on our [GitHub page](https://github.com/trackmania-rl/tmrl).\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Network-based framework for real-time robot learning",
"version": "0.6.6",
"project_urls": {
"Download": "https://github.com/trackmania-rl/tmrl/archive/refs/tags/v0.6.6.tar.gz",
"Homepage": "https://github.com/trackmania-rl/tmrl"
},
"split_keywords": [
"reinforcement learning",
" robot learning",
" trackmania",
" self driving",
" roborace"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "dd2628d901332664bfe8be8c0b827c6d905012c4e894a2386fe12277ade1dff7",
"md5": "27df624ce09a8c4e4959c4aeb76e8c74",
"sha256": "8fc0f4f7b4f8a732d888ac8784e1f6cdc586a1fb250a61e206d53c8457896949"
},
"downloads": -1,
"filename": "tmrl-0.6.6.tar.gz",
"has_sig": false,
"md5_digest": "27df624ce09a8c4e4959c4aeb76e8c74",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 79417,
"upload_time": "2024-05-15T20:29:53",
"upload_time_iso_8601": "2024-05-15T20:29:53.295302Z",
"url": "https://files.pythonhosted.org/packages/dd/26/28d901332664bfe8be8c0b827c6d905012c4e894a2386fe12277ade1dff7/tmrl-0.6.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-15 20:29:53",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "trackmania-rl",
"github_project": "tmrl",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "tmrl"
}