This repository provides slides and video lectures for an introductory reinforcement learning course taught by Bolei Zhou. It covers foundational RL concepts including Markov Decision Processes, model-free prediction and control, value function approximation, policy gradient methods, and model-based RL. The materials include PDF slides in English and video lectures in Mandarin, with 10 lectures total released in 2020.