Introduction to Reinforcement Learning

Three credits · Undergraduate

In this course, you will delve into the practical aspects of reinforcement learning (RL) and deep reinforcement learning, gaining a comprehensive understanding of fundamental algorithms and techniques. Equipping you with essential tools, the curriculum empowers students to effectively address a diverse array of decision problems. Proficiency in Python is highly recommended for optimal engagement with the course content. Prerequisite: CSCI 162. Three credits.