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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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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.