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Tambet Matiisen
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I wrote an accessible introduction to deep reinforcement learning (i.e. how DeepMind's code plays Atari games):

http://www.nervanasys.com/demystifying-deep-reinforcement-learning/

I tried to keep the text simple, but still cover all the key points. Did it work for you?

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I'm releasing my own implementation of deep Q-learning, used in DeepMind's seminal paper to play Atari games. My code was designed to be simple, fast and easy to extend, so I believe it is particularly suitable for anyone starting in this area. It is not yet matching DeepMind's results 100%, but is close enough. I would appreciate any help with testing to bring it on-par with their results.

Give it a try:
https://github.com/tambetm/simple_dqn

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