Special Topics in Electronic Engineering

The course introduces basic reinforcement learning for undergraduate students. It introduces the minimum mathematics necessary to understand reinforcement learning and helps students to get interested in it through easy examples and Python practice. The students can learn basic concepts such as Markov decision process, dynamic programming, TD learning, and Q-learning, and also can learn the latest deep reinforcement learning techniques.