Textbooks (or other sources) on deep reinforcement learning which explain theory along with good examples

Question

I am looking for a textbook/other sources on deep reinforcement learning which explain theory along with good examples. I will be happy for suggestions.

Answer 1

Despite not a textbook I found the Berkley lecture series quite good. You have lecture theory and practical homework tasks to solve. Another famous learning resource is Spinning Up.

Answer 2

For me was "The Art of Reinforcement Learning" by Michael Hu the best book so far. On the other side I found the Sutton and Barto Book extremely hard to digest. By the way, check this link out.

In case you need MARL or are interested in it, then I suggest the very well academy course made by Phil Tabor www.neuralnet.ai It costs some money but it was (for me) definetely worthly