My suggestions for learning deep RL are the book Grokking Deep RL and the Spinning Up website. These are reading focused obviously. Then, when your implementations don't work, compare them to minimal-rl. I don't intend to detract from this course, just adding some of my own suggestions on the topic. https://www.manning.com/books/grokking-deep-reinforcement-le... https://spinningup.openai.com/en/latest/ https://github…
I like the reading-focused SpinningUp course as well. Thanks for the other pointers.