CS 4771

Reinforcement Learning

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Course Description

Pre-Requisite(s):  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.


  • Chen-Yu Wei

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     GPA

     Sections

    1

    Last Taught

    Spring 2026