CS 851A (01) - Reinforcement Learning

Reinforcement Learning

Durham   Engineering&Physical Sciences :: Computer Science
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16266
Reinforcement learning studies how agents can learn to act to achieve goals in complex, stochastic environments. This course introduces students to fundamental theoretical concepts of reinforcement learning, standard algorithms, and practical techniques. In addition to theoretical topics, the course involves implementing basic algorithms in a high-level programming language. Programming and statistics required prior to taking this course.
Cross listed with : CS 751.01
Instructors: Marek Petrik

Times & Locations

Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 9:40am - 11:00am KING N101