Metadata-Version: 2.1
Name: deer
Version: 0.4.3
Summary: Framework for deep reinforcement learning
Home-page: https://github.com/VinF/deer
Author: Vincent Francois-Lavet
Author-email: vincent.francois@gmail.com
License: BSD
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Libraries

.. -*- mode: rst -*-

|Travis|_ |Python27|_ |Python36|_ |PyPi|_ |License|_

.. |Travis| image:: https://travis-ci.org/VinF/deer.svg?branch=master
.. _Travis: https://travis-ci.org/VinF/deer

.. |Python27| image:: https://img.shields.io/badge/python-2.7-blue.svg
.. _Python27: https://badge.fury.io/py/deer

.. |Python36| image:: https://img.shields.io/badge/python-3.6-blue.svg
.. _Python36: https://badge.fury.io/py/deer

.. |PyPi| image:: https://badge.fury.io/py/deer.svg
.. _PyPi: https://badge.fury.io/py/deer

.. |License| image:: https://img.shields.io/badge/license-MIT-blue.svg
.. _License: https://github.com/VinF/deer/blob/master/LICENSE

DeeR
====

DeeR is a python library for Deep Reinforcement. It is build with modularity in mind so that it can easily be adapted to any need. It provides many possibilities out of the box such as Double Q-learning, prioritized Experience Replay, Deep deterministic policy gradient (DDPG), Combined Reinforcement via Abstract Representations (CRAR). Many different environment examples are also provided (some of them using OpenAI gym).

Dependencies
============

This framework is tested to work under Python 3.6.

The required dependencies are NumPy >= 1.10, joblib >= 0.9. You also need Keras>=2.1.

For running the examples, Matplotlib >= 1.1.1 is required.
For running the atari games environment, you need to install ALE >= 0.4.

Full Documentation
==================

The documentation is available at : http://deer.readthedocs.io/

