LECT 19: Linear Parametric Regression in Reinforcement Learning_Basis Functions, Neural Networks
Channel: Abhishek Gupta
Date: 2020-03-23

Welcome to ECE 8851: Reinforcement Learning Lecture 19! In this lecture, we will be exploring the topic of parametric regression, which is a crucial aspect of reinforcement learning.

We will start by discussing the basics of parametric regression and how it can be used to solve different problems related to reinforcement learning. We will then delve into various techniques for linearly parametrized regression, such as basis functions, neural networks, reproducing kernel Hilbert spaces, decision/regression trees, and others.