In this ebook, you will learn:

Section 1: The Basics and Setting Up the Environment  - Learn the basics of reinforcement learning and how it compares with traditional control design. See the difference between supervised, unsupervised, and reinforcement learning, and see how to set up a learning environment in MATLAB and Simulink

Section 2: Rewards and Policy Structures - Learn about exploration and exploitation in reinforcement learning and how to shape reward functions. Explore different options for representing policies including neural networks and how they can be used as function approximators.

Section 3: Understanding Training and Deployment