CSE 446LEC - Reinforcement Learning

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.

Credits: 3

Grading
Graded (GRD)

Requisites:
Pre-Requisite: CSE 455 or CSE 473 or CSE 474. Computer Science, Computer Engineering, or Bioinformatics majors only.