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https://github.com/kristjankorjus/Replicating-DeepMind

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
https://github.com/kristjankorjus/Replicating-DeepMind

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

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Replicating-DeepMind
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Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind. All the information is in our [Wiki](https://github.com/kristjankorjus/Replicating-DeepMind/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](http://robohub.org/artificial-general-intelligence-that-plays-atari-video-games-how-did-deepmind-do-it/).

Note 2: Nathan Sprague has a implementation based on Theano. It can do fairly well. See [his github](https://github.com/spragunr/deep_q_rl) for more details.