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Keras Reinforcement Learning Projects

You're reading from   Keras Reinforcement Learning Projects 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789342093
Length 288 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Overview of Keras Reinforcement Learning FREE CHAPTER 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

How Segways work

The Segway was invented by Dean Kamen, who presented the prototype in 2001. It is an electric traction-transport vehicle for individual locomotion, a very advanced technological concept, initially called Ginger. It is a sort of intelligent scooter that can start, stop, and reverse with simple movements of the passenger-driver body, slight bending forward or backward, and making curves with the help of a knob on the left-hand side of the handlebar. In the following model, called Segway PT, the steering was entrusted to the column that is no longer rigid, but tilt able to the right or left to induce the desired direction changes. The model equipped with the old steering system (Segway HT) is no longer in production. In the following photograph, a Segway PT is shown:

One day, inventor Dean Kamen saw a young man in a wheelchair who was trying to get onto the sidewalk...

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