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[P] From DQN to Rainbow: A step-by-step Colab + Pytorch tutorial

Hi, ML redditors all around the world! I made a Pytorch RL tutorial which consists of all methods from DQN to Rainbow:

  1. DQN
  2. Double DQN
  3. Prioritized Experience Replay
  4. Dueling Networks
  5. Noisy Network
  6. Categorical DQN (C51)
  7. N-step Learning
  8. Rainbow

Every chapter contains both theoretical backgrounds and object-oriented implementation, and thanks to Colab, you can execute them and render the results without any installation even on your smartphone!

I hope it will be helpful for someone. 🙂

Cheers.

submitted by /u/Curt-Park
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