Reinforcement Learning: Machine Learning Meets Control Theory

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: 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