Beat Atari with Deep Reinforcement Learning! (Part 1: DQN)

In this post, we will attempt to reproduce the following paper by DeepMind: Playing Atari with Deep Reinforcement Learning, which introduces the notion of a Deep Q-Network.

I strongly recommend that you skim through the paper before reading this tutorial, and then read it more deeply when you are done. I will be quoting it throughout. Further, I recommend you really do try to implement your DQN from what I am writing here.

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In the event you would want to cite this blog post, you could use this template:

@electronic{ecoffet2017beat_atari_with_deep_reinforcement_learning_part_1_dqn,
  title={Beat Atari with Deep Reinforcement Learning! (Part 1: DQN)},
  author={Ecoffet, Adrien},
  url = {https://medium.com/becoming-human/lets-build-an-atari-ai-part-1-dqn-df57e8ff3b26},
  year={2017}
}