Introduction to Reinforcement Learning

Reinforcement learning (RL) is a machine learning technique that teaches agents how to make decisions that lead to good outcomes. This course will introduce fundamental concepts, important RL algorithms, and key challenges (e.g., exploration and generalization). The course will also highlight applications of RL to real-world problems, including health care and molecular science. Assignments will entail implementation of RL algorithms and mathematical analysis of these algorithms. Students will complete an open-ended final group project.