Collection of Reinforcement Learning Resources

Reinforcement Learning: An Introduction by Richard Sutton and Andrew Barto (2nd Edition, in progress) This is a great introductory book exploring Reinforcement learning.

RL Course by David Silver This course by David Silver covers introductory topics, Markov Decision Processes, Dynamic Programming, Model-Free Prediction, Model-Free Control, Value Function Approximation, Policy Gradient Methods, Integrating Learning and Planning, and Exploration and Exploitation. Additional Course Resources available here

aikorea/awesome-rl A curated list of Reinforcement learning resources