+[斯坦福 cs234 强化学习中文讲义](README.md)+[Lecture 1 Introduction to Reinforcement Learning](1.md)+[Lecture 3 Model Free Policy Evaluation: Policy Evaluation Without Knowing How the World Works](3.md)+[Lecture 4 Model Free Control](4.md)+[Lecture 5 Value Function Approximation](5.md)+[Lecture 6 CNNs and Deep Q-learning](6.md)+[Lecture 7 Imitation Learning](7.md)+[Lecture 8&9 Policy Gradient](8&9.md)+[Lecture 10 Advanced Policy Gradient](10.md)+[Lecture 11&12 Exploration and Exploitation](11&12.md)+[Lecture 14 Model Based RL, Monte-Carlo Tree Search](14.md)
