Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn to interact with their environment. In this video, we provide a high level overview of reinforcement learning, along with leading algorithms and impressive applications. Citable link for this video: https://doi.org/10.52843/cassyni.x2t0sp @eigensteve on Twitter eigensteve.com databookuw.com This video was produced at the University of Washington %%% CHAPTERS %%% 0:00 Introduction 3:34 Reinforcement Learning Overview 7:30 Mathematics of Reinforcement Learning 12:32 Markov Decision Process 13:33 Credit Assignment Problem 15:38 Optimization Techniques for RL 18:54 Examples of Reinforcement Learning 21:50 Q-Learning 23:53 Hindsight Replay