DS 5004
Applied Reinforcement Learning
Course Description
Reinforcement Learning is a dynamic area in machine learning that allows an agent to learn by interacting with its environment. This enables learning when the ground truth is unavailable or outdated (think predicting Netflix usage before and during a pandemic). This course will introduce topics including k-armed bandits, Markov Decision Processes, value functions, Policy Gradients, Q-Learning, and deep Q-Learning.