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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

Game theory

Game theory is the mathematical science that studies and analyzes the individual decisions of a subject in situations of conflict or strategic interaction with other rival subjects aimed at the maximum profit of each subject. In such situations, the decisions of one can influence the results achieved by the other(s), and vice versa, according to a feedback mechanism, by seeking competitive and/or cooperative solutions through models.

The theory of games has its distant origins in 1654 from a correspondence between Blaise Pascal and Pierre de Fermat, on the calculation of probabilities for gambling.

The expression game theory was first used by Émile Borel in the 1920s. Borel took care of the théorie des jeux, of zero-sum games with two players and tried to find a solution known as John von Neumann's concept of solving a zero-sum game.

The birth of modern...

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