Reinforcement Learning

Catalog description

Reinforcement learning, along with supervised learning and unsupervised learning, is one of the three basic types of machine learning. Applications of reinforcement learning span across medical intervention, robotics, game playing, autonomous driving, financial trading, and marketing, among many others. This course will cover the main theory and approaches of reinforcement learning, along with deep learning and common software libraries and packages.