Introduction to

Reinforcement Learning

Class Overview

Reinforcement learning is a promising area in modern artificial intelligence research. Its recent development based on computation power leads to enormous applications, including robotics, finance, healthcare, and business administration. This course will deal with an introduction to the field of optimal control and reinforcement learning, and students will learn about the mathematical elements and computational approaches. At the end of this course, students will understand core theories and algorithms in modern reinforcement learning research.

Class Time / Classroom

Tuesday, 17:00-18:30 & Friday, 17:00-18:30 / Woodang Hall #105

Instructor: Sungbin Lim

TA E-mail: stat436.ta@gmail.com

Office Hour: Tuesday, 15:30 - 16:30, Woodang Hall (우당교양관), #530

Notice

Lecture Note

Tutorial