Module 0: Introduction

An overview of this course.

Module 1: RL Components

In this module, we will explain what types of problems can be solved with reinforcement learning (RL), as well as the terminology we'll need for the rest of the course.

Module 2: Ray RLlib

In this module we apply the Ray RLlib software package to solve RL problems.

Module 3: Designing RL Environments

This module teaches you to build your own environments.

Module 4: Recommender System Application

This module introduces you to working with Recommender Systems in the context of RL.

Module 5: Under the Hood

In this module you will learn more about RLlib and how it works.