Metadata-Version: 1.1
Name: deer
Version: 0.3.dev1
Summary: Framework for deep reinforcement learning
Home-page: https://github.com/VinF/General_Deep_Q_RL
Author: Vincent Francois-Lavet
Author-email: v.francois@ulg.ac.be
License: BSD
Description: .. -*- mode: rst -*-
        
        |Travis|_ |Python27|_ |Python35|_ |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
        
        .. |Python35| image:: https://img.shields.io/badge/python-3.5-blue.svg
        .. _Python35: 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 (prioritized experience replay, double Q-learning, etc). Many different environment examples are also provided (some of them using OpenAI gym). 
        
        Full Documentation
        ==================
        
        The documentation is available at : http://deer.readthedocs.io/en/master/
        
        Dependencies
        ============
        
        This framework is tested to work under Python 2.7, and Python 3.5. It should also work with Python 3.3 and 3.4.
        
        The required dependencies are NumPy >= 1.10, joblib >= 0.9. You also need theano >= 0.7 (lasagne is optional) or you can write your own neural network using your favorite framework.
        
        For running the examples, Matplotlib >= 1.1.1 is required. 
        For running the atari games environment, you need to install ALE >= 0.4.
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 :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Libraries
