Reinforcement Learning: An Introduction

Re:Reinforcement Learning: An Introduction by pkoperek on Wednesday October 23, 2024 @05:03PM (#41929259)

To be honest I think this may be actually an advantage: it explains concepts which otherwise are just weird parameters in code. Since it is pretty lengthy I would actually recommend to read the chapters relevant to a specific method you are interested in (maybe going a backwards to build the right context).

If you I'd combine it with e.g. https://spinningup.openai.com/en/latest/ or doing some toy projects with https://stable-baselines3.readthedocs.io/en/master/ it would probably render the most value.

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Re:Reinforcement Learning: An Introduction by malshe on Thursday October 24, 2024 @11:40AM (#41936650)

I second this. When I started learning ML, rather than getting into coding I first watched Yaser Abu-Mostafa's Caltech lectures on YouTube diligently. I used his book as a companion. Next I watched Robert Tibshirani's lectures. I was interested in learning the fundamentals, which helped me a lot when I started coding.

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