PyRoboLearn

This repository contains the code for the PyRoboLearn (PRL) framework: a Python framework for Robot Learning. This framework revolves mainly around 7 axes: simulators, worlds, robots, interfaces, learning tasks (= environment and policy), learning models, and learning algorithms.

Requirements

The framework has been tested with Python 2.7 and Ubuntu 16.04.

Installation

1. First download the pip Python package manager and create a virtual environment for Python 2.7 as described in the following link: https://packaging.python.org/guides/installing-using-pip-and-virtualenv/ On Ubuntu, in the terminal, you can type:

sudo apt install python-pip
sudo pip install virtualenv

2. clone this repository and install the requirements and the setup.py

pip install -r requirements.txt
pip install -e .

Citation

@misc{delhaisse2019pyrobolearn,
    author = {Delhaisse, Brian and Rozo, Leonel, and Caldwell, Darwin},
    title = {PyRoboLearn: A Python Framework for Robot Learning Practitioners},
    howpublished = {\url{https://github.com/robotlearn/pyrobolearn}},
    year=2019,
}