[Asafp]

Before jumping into Deep Reinforcement Learning I highly recommend doing the Reinforcement Learning course by David Silver [1].

[1] https://www.deepmind.com/learning-resources/introduction-to-...

[rg111]

Nice resource, but still 10+ hours of video and nothing else.

No code, coding assignments, math problems or coding problems.

Very little RoI.

I watched them all from start to finish. I had a superficial, shallow "understanding" but no real knowledge.

The best (very short book) to learn Deep RL is the one by Zai, Brown from Manning.

And keep the classic Sutton, Barto near. That's it.

If you want a video course that closely follows the book with quizzes and assignments, check out UofAlberta's MOOC on Coursera.

(Hugging Face also has a new Deep RL course taught by Simonini. You could check that out, but I haven’t seen it.)

[axpy906]

HF covers Decision Transfomers.

Sutton and Barto is the best start for foundations. Start there.

[pciexpgpu]

Second this, his talks are very elaborate, has great pointers to reading material/coursework - as if you were sitting alongside the students in UCL. Very involved though - if you have a 'day job'.