• Project link: https://github.com/Curt-Park/rainbow-is-all-you-need

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.