This repository provides comprehensive materials for learning deep reinforcement learning, including slides and lecture notes on topics ranging from RL basics to advanced algorithms. Content covers TD learning, value-based methods (DQN, Dueling networks), policy-based approaches, and actor-critic methods. The materials include implementations and are accompanied by video lectures (primarily in Chinese) for each topic.