https://github.com/opium-sh/prl

Open-source library for a reinforcement learning research.
https://github.com/opium-sh/prl

artificial-intelligence deep-learning machine-learning neural-networks openai-gym opium-sh python reinforcement-learning

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Open-source library for a reinforcement learning research.

• Host: GitHub
• URL: https://github.com/opium-sh/prl
• Owner: opium-sh
• License: mit
• Created: 2020-02-06T15:55:52.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T03:04:51.000Z (almost 2 years ago)
• Last Synced: 2024-08-03T15:16:53.187Z (3 months ago)
• Topics: artificial-intelligence, deep-learning, machine-learning, neural-networks, openai-gym, opium-sh, python, reinforcement-learning
• Language: Python
• Homepage:
• Size: 46.9 KB
• Stars: 54
• Watchers: 5
• Forks: 5
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# People's Reinforcement Learning (PRL)

![](https://img.shields.io/badge/python-3.6-blue.svg)

![](https://img.shields.io/badge/code%20style-black-000000.svg)

![](https://readthedocs.org/projects/prl/badge/?version=latest)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3662113.svg)](https://doi.org/10.5281/zenodo.3662113)

## Description

This is a reinforcement learning framework made with research activity in mind.

You can read mode about PRL in our 

[introductory blog post](https://medium.com/asap-report/prl-a-novel-approach-to-building-a-reinforcement-learning-framework-in-python-208cb8ae9349?sk=ea595f44fc8bd3f2aa4416c997d16891),

[in-depth look into library](https://medium.com/asap-report/in-depth-look-into-prl-the-new-reinforcement-learning-framework-in-python-7ac57c282a61?source=friends_link&sk=f9c062f9ac8fd045d71f7319872e44b5), 

[documentation](https://prl.readthedocs.io/en/latest/index.html) or

[wiki](https://gitlab.com/opium-sh/prl/wikis/home).

## System requirements

* ```python 3.6```

* ```swig```

* ```python3-dev```

We recommend using ```virtualenv``` for installing project dependencies.

## Installation

* clone the project:

  ```

  git clone [email protected]:opium-sh/prl.git

  ```

* create and activate a virtualenv for the project (you can skip this step if you are not using virtualenv)

  ```

  virtualenv -p python3.6 your/path && source your/path/bin/activate

  ```

* install dependencies:

  ```

  pip install -r requirements.txt

  ```

  

* install library

  ```

  pip install -e .

  ```

* run example:

   ```

   cd examples

   python cart_pole_example_cross_entropy.py

   ```

   

## Citation

If you use PRL in your work or research please cite us as:

Tempczyk, P., Sliwowski, M., Kozakowski, P., Smuda, P., Topolski, B., Nabrdalik, F., & Malisz, T. (2020). opium-sh/prl: First release of Peoples’s Reinforcement Learning (PRL). Zenodo. https://doi.org/10.5281/ZENODO.3662113