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Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

License: GNU General Public License v3.0

Shell 0.13% Makefile 0.51% C 3.49% C++ 52.27% TeX 4.91% M4 1.13% Prolog 13.83% Python 5.99% Cuda 17.71% MATLAB 0.03%

replicating-deepmind's Introduction

Replicating-DeepMind

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind. All the information is in our Wiki.

Progress: System is up and running on a GPU cluster with cuda-convnet2. It can learn to play better than random but not much better yet :) It is rather fast but still about 2x slower than DeepMind's original system. It does not have RMSprop implemented at the moment which is our next goal.

Note 1: You can also check out a popular science article we wrote about the system to Robohub.

Note 2: Nathan Sprague has a implementation based on Theano. It can do fairly well. See his github for more details.

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