Module 0: Introduction
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
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.