This is a reinforcement learning framework made with research activity in mind. You can read more about PRL in our blogpost, documentation or wiki.

• python 3.6
• swig
• python3-dev

We recommend using virtualenv for installing project dependencies.

• 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