CS 4771
Reinforcement Learning
Course Description
Prerequisites
CS 2100 with a grade of C- or better or successfully complete the CS 2100 place out test
This course aims to give an introduction to basic ideas and concepts of RL while avoiding deep dive in mathematical treatments. The course will help the student build an intuitive understanding of RL and give students hands-on experience on small-scale RL problems. Prerequisite: CS 2100 with a grade of C- or better or successfully complete the CS 2100 place out test.