Implementation of:

-DQN -> http://home.uchicago.edu/~arij/journalclub/papers/2015_Mnih_et_al.pdf

-Double DQN -> http://arxiv.org/abs/1509.06461

-Dueling network -> http://arxiv.org/abs/1511.06581

-Prioritized experience replay -> http://arxiv.org/pdf/1511.05952v3.pdf

-Deep Attention Recurrent Q-Network -> https://arxiv.org/pdf/1512.01693v1.pdf (Coming next)

-Asynchronous Methods for Deep Reinforcement Learning -> https://arxiv.org/pdf/1602.01783v2.pdf (Coming next)

Currently, the config file parameters are tunned in order to learn to play to flappy bird (https://github.com/sourabhv/FlapPyBird).

Dependencies:

-Tensorflow

-python 2.7

-openCV

-pyQtGraph

-numpy

-pqdict

11/20/2016 - learning DDQN & Dual network OK

11/23/2016 - PER integrated but learning is much slower