| Name | bbrl-algos JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | |
| Summary | BBRL algos, a library of reinforcement learning algorithms |
| upload_time | 2023-10-04 08:53:20 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
reinforcement
learning
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# BBRL - ALGOS
## Description
This library is designed for education purposes, it is mainly used to perform some practical experiences with various RL algorithms. It facilitates using optuna for tuning hyper-parameters and using rliable and statistical tests for analyzing the results.
## Installation
git clone https://github.com/osigaud/bbrl_algos.git
cd bbrl_algos
pip install -e .
We suggest using your favorite python environment (conda, venv, ...) as some further installations might be necessary
## Usage
go to src/bbrl_algos, choose your algorithm and run python3 your_algorithm.py
Raw data
{
"_id": null,
"home_page": "",
"name": "bbrl-algos",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "Olivier Sigaud <olivier.sigaud@isir.upmc.fr>",
"keywords": "reinforcement learning",
"author": "",
"author_email": "Olivier Sigaud <olivier.sigaud@isir.upmc.fr>, Mathis Koroglu <mathis.koroglu@etu.sorbonne-universite.fr>",
"download_url": "",
"platform": null,
"description": "# BBRL - ALGOS\n\n## Description\n\nThis library is designed for education purposes, it is mainly used to perform some practical experiences with various RL algorithms. It facilitates using optuna for tuning hyper-parameters and using rliable and statistical tests for analyzing the results.\n\n## Installation\n\ngit clone https://github.com/osigaud/bbrl_algos.git\n\ncd bbrl_algos\n\npip install -e .\n\nWe suggest using your favorite python environment (conda, venv, ...) as some further installations might be necessary\n\n## Usage\n\ngo to src/bbrl_algos, choose your algorithm and run python3 your_algorithm.py\n",
"bugtrack_url": null,
"license": "",
"summary": "BBRL algos, a library of reinforcement learning algorithms",
"version": "0.0.2",
"project_urls": {
"repository": "https://github.com/Arlaz/bbrl_algos"
},
"split_keywords": [
"reinforcement",
"learning"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "93ccfce132ed88eaefa5fa0281fd5416fc15026db4bf0cebbb6d0027a4f0fd27",
"md5": "21310db296aa1ae44c1bae8549f3d9b5",
"sha256": "5ec2d928435bf44e40767ffc18c22806a14eceb78f44db906f11db4e37794268"
},
"downloads": -1,
"filename": "bbrl_algos-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "21310db296aa1ae44c1bae8549f3d9b5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 1011056,
"upload_time": "2023-10-04T08:53:20",
"upload_time_iso_8601": "2023-10-04T08:53:20.060990Z",
"url": "https://files.pythonhosted.org/packages/93/cc/fce132ed88eaefa5fa0281fd5416fc15026db4bf0cebbb6d0027a4f0fd27/bbrl_algos-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-04 08:53:20",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Arlaz",
"github_project": "bbrl_algos",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "bbrl-algos"
}
