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Keras Reinforcement Learning Projects

You're reading from Keras Reinforcement Learning Projects

Product type Book

Published in Sep 2018

Publisher Packt

ISBN-13 9781789342093

Pages 288 pages

Edition 1st Edition

Languages

Concepts

Reinforcement Learning

Author (1):

Giuseppe Ciaburro

Table of Contents (13) Chapters

Preface

1. Overview of Keras Reinforcement Learning

2. Simulating Random Walks

3. Optimal Portfolio Selection

4. Forecasting Stock Market Prices

5. Delivery Vehicle Routing Application

6. Continuous Balancing of a Rotating Mechanical System

7. Dynamic Modeling of a Segway as an Inverted Pendulum System

8. Robot Control System Using Deep Reinforcement Learning

9. Handwritten Digit Recognizer

10. Playing the Board Game Go

11. What's Next?

12. Other Books You May Enjoy

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Summary

In this chapter, you learned the basics of the Theory of Robot Control. A robot is a machine that performs certain actions based on the commands that are provided. To describe the level of advancement of a robot, the term generation robots can be used. Different generations of robots were addressed to distinguish the correlated features. Robot autonomy and robot mobility topics have been discussed to understand how to handle problems related to the autonomous control of a robot.

Then, we looked at the FrozenLake environment. This is a 4 × 4 grid that contains four possible areas: Safe (S), Frozen (F), Hole (H), and Goal (G). The agent controls the movement of a character in a grid world, and moves around the grid until it reaches the goal or the hole. This environment is particularly suitable for simulating problems related to the mobility of a robot in an environment...

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Authors (1)

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).

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