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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

The AlphaGo project

AlphaGo is a software for the game of Go developed by Google DeepMind. It was the first software able to defeat a human champion in the game without a handicap and on a standard-sized goban (19 × 19).

DeepMind is a British company of artificial intelligence controlled by Alphabet. It was founded in 2011 as DeepMind Technologies and was acquired by Google in 2014.

According to David Silver, a researcher at DeepMind, the AlphaGo project was launched in 2014 to study how deep neural networks could be applied to the game of Go.

AlphaGo represented a significant advancement over pre-existing go-to game programs. Over 500 games played against other software, including Crazy Stone and Zen—AlphaGo (running on a single computer) has won all but one game—and running a series of similar matches, but turning on an AlphaGo cluster has won all 500 games...

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