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