Undergraduate UB Academic Schedule

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 446LEC - Reinforcement Learning
Lecture



Reinforcement Learning A			Enrollment Information (not real time - data refreshed nightly)


Class #:	22750		Enrollment Capacity:	20
Section:	A		Enrollment Total:	8
Credits:	3.00 credits		Seats Available:	12
Dates:	01/31/2022 - 05/13/2022		Status:	OPEN
Days, Time:	T R , 6:30 PM - 7:50 PM
Room:	Knox 20	view map
Location:	North Campus


Enrollment Requirements


Prerequisites: Pre-Requisite: CSE474 or CSE455 or CSE473.


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.


Instructor(s)



	Vereshchaka	look up


On-line Resources


Textbook information is available in the class schedule in the HUB Student Center via MyUB. Undergraduate Course Catalog Office of the Registrar


Other Courses Taught By: Vereshchaka

UB Undergraduate Academic Schedule: Spring 2022