Skip to Content
University at Buffalo

UB Graduate Academic Schedule: Spring 2023

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


CSE 546LEC - Reinforcement Learning
Reinforcement Learning A Enrollment Information (not real time - data refreshed nightly)
Class #:   20388   Enrollment Capacity:   156
Section:   A   Enrollment Total:   156
Credits:   3.00 credits   Seats Available:   0
Dates:   01/30/2023 - 05/12/2023   Status:   CLOSED
Days, Time:   T R , 12:30 PM - 1:50 PM
Room:   Davis 101 view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 100 99  
Eng Sci MS Data Sci Seats Rsvr 25 25  
Eng Sci MS: Robotics Seats Rsv 20 20  
Eng Sci MS: AI Seats Reserved 10 10  
Enrollment Requirements
Prerequisites: Pre/Co Requisite: CSE574 or CSE555 or CSE573 is recommended to be either completed or taken during the same semester
  Course Description
This course is intended for students interested in artificial intelligence. Reinforcement learning is an area of machine learning where an agent learns how to behave in an environment by performing actions and assessing the results. Reinforcement learning is how Google DeepMind created the AlphaGo system that beat a high-ranking Go player and how AlphaStar become the first artificially intelligent system to defeat a top professional player in StarCraft II. We will study the fundamentals and practical applications of reinforcement learning and will cover the latest methods used to create agents that can solve a variety of complex tasks, with applications ranging from gaming to finance to robotics. The course is comprised of assignments, short weekly quizzes, a final project and a final exam.
             Vereshchaka look up    
  On-line Resources
Other Courses Taught By: Vereshchaka