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Deep Reinforcement Learning cover

Deep Reinforcement Learning

by Alexander Zai and Brandon Brown

currently reading technical

Working through the foundations of deep RL - value-based, policy-based, and model-based methods.

I picked this up to get a structured walk through deep RL after stitching together too many disconnected blog posts. Notes below are my own summary per chapter - they exist mostly so I have something to come back to before moving on.

The whole idea is that I read multiple technical books in parallel, never finish them, and then forget what I read. Putting the notes on the website is the forcing function: if I’m not willing to write down what a chapter said, I probably didn’t understand it.


Notes