Practical MATLAB Deep Learning: A Projects-Based Approach

© 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 point-mass dynamics ...