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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 Go game

Go is a strategic board game for two players. Go originated in China, where it has been played for at least 2,500 years; it is very popular in East Asia, but has spread to the rest of the world in recent years. It is a very complex game strategically despite its simple rules; a Korean proverb says that no game of Go has ever been played twice, which is likely if you think that there are 2.08 × 10170 different possible positions on a 19 × 19 goban.

Go is played by two players who alternately place black and white pieces (called stones) on the empty intersections of a grid of black lines (called goban) within a 19 × 19 grid. The aim of the game is to control a zone of the goban greater than that controlled by the adversary; for this purpose the players try to arrange their stones so that they cannot be captured, carving out at the same time the territories...

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