CS 272: Reinforcement Machine Learning

Credits 3
This course covers the fundamentals of goal-directed machine learning using reinforcement learning principles. Decision-making frameworks based on exploitation and exploration are covered. The course also covers single- and multiple-state space approximations using regular- and linear-function approximation techniques.
Prerequisites
CS 271, MAT 258