See the Wiki for full documentation, examples and other information.

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.

You can simply clone the version 0.1 of this framework by using the following command:

git clone -b 0.1 https://github.com/VinF/deer.git

That version is not a package yet, so you can simply launch it as a standalone python code.

For the latest developments, you can instead clone the bleeding-edge version of this framework by using the following command:

git clone -b master https://github.com/VinF/General_Deep_Q_RL.git

Assuming you already have a python environment with pip, you can automatically install all the dependencies (except ALE that you may need for atari games) with:

pip install -r requirements.txt

And you can install the framework as a package with:

python setup.py install