Study Material for Reinforcement Learning
David Silver, Reinforcement Learning Course (classic)
Rich Sutton and Andrew Barto, Reinforcement Learning: An Introduction (standard textbook)
Reinforcement Learning Specialization (a courser specialization by UAlberta)
Shangtong Zhang's Github (implementation of Barto & Sutton RL book)
DeepMind x UCL RL Lecture Series (advanced)
Deep RL course @ UC Berkeley (advanced)
The following by myself:
Reinforcement Learning in Practice: Opportunities and Challenges (with a brief intro to RL)
Deep Reinforcement Learning: An Overview
Iterative improvements from feedback for language models (The only survey about RL + LLM AFAIK. Ask me for an update.)
There are lots of excellent materials I do not include here. Welcome to add them in comments.