People's Reinforcement Learning (PRL)

Description

This is a reinforcement learning framework made with research activity in mind. You can read mode about PRL in our introductory blog post, in-depth look into library, documentation or wiki.

System requirements

• python 3.6
• swig
• python3-dev

We recommend using virtualenv for installing project dependencies.

Installation

• clone the project:

  git clone git@gitlab.com: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