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OpenAI's spinning up in deep RL is free and pretty good: https://spinningup.openai.com/en/latest/

It includes both mathematical formulas and PyTorch code.

I found it a bit more practical than the Sutton & Barto book, which is a classic but doesn't cover some of the more modern methods used in deep reinforcement learning.



Cool!

It's also nice that Sutton & Barto belabors a lot of old stuff that is no longer obsessed over, and this skims through that and gets to the stuff that is much more relevant today.


Even this OpenAI course is from 2020? Are there no useful recent updates on the subject, especially now with everyone working and using RL?




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