© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
M. Paluszek et al.Practical MATLAB Deep Learninghttps://doi.org/10.1007/978-1-4842-7912-0_15

15. Reinforcement Learning

Michael Paluszek1  , Stephanie Thomas2   and Eric Ham2  
(1)
Plainsboro, NJ, USA
(2)
Princeton, NJ, USA
 

15.1 Introduction

Reinforcement learning is a machine learning approach in which an intelligent agent learns to take actions to maximize a reward. We will apply this to the design of a Titan landing control system. Reinforcement learning is a tool to approximate solutions that could have been obtained by dynamic programming, but whose exact solutions are computationally intractable [3].

We’ll start the chapter by modeling the ...

Get Practical MATLAB Deep Learning: A Projects-Based Approach now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.