Foundations of Reinforcement Learning

Harvard FAS

Modern Artificial Intelligence (AI) systems often need the ability to make sequential decisions in an unknown, uncertain, possibly hostile environment, by actively interacting with the environment to collect relevant data. This graduate-level course focuses on the theoretical and algorithmic foundations of Reinforcement Learning (RL). The four main themes of the course are: (1) fundamentals (MDPs, computation, statistics, generalization); (2) provably efficient exploration (and…