智能无人系统实验室E

Teaching

  • I have been teaching a course on reinforcement learning at Westlake University for three years.

  • This course aims to provide a mathematical but friendly introduction to the fundamental concepts, basic problems, and classical algorithms in reinforcement learning, which is a core discipline in the areas of artificial intelligence.

  • The topics covered in the course include the Bellman equation, Bellman optimality equation, value iteration/policy iteration algorithms, Monte-Carlo based algorithms, temporal-difference algorithms, function approximation, and policy gradient algorithms.

  • Along with the teaching, I have been writting a book as the lecture notes for my students.