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Artificial Intelligence

Overview of attention for book
Cover of 'Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Early Detection of Sepsis Induced Deterioration Using Machine Learning
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    Chapter 2 Deriving Formulas for Integer Sequences Using Inductive Programming
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    Chapter 3 All or In-cloud: How the Identification of Six Types of Anomalies Is Affected by the Discretization Method
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    Chapter 4 Topic Modeling for Exploring Cancer-Related Coverage in Journalistic Texts
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    Chapter 5 Model Selection for Multi-directional Ensemble of Regression and Classification Trees
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    Chapter 6 Finding Dissimilar Explanations in Bayesian Networks: Complexity Results
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    Chapter 7 Beyond Local Nash Equilibria for Adversarial Networks
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    Chapter 7 Beyond Local Nash Equilibria for Adversarial Networks
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    Chapter 8 Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population
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    Chapter 9 Computing and Predicting Winning Hands in the Trick-Taking Game of Klaverjas
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    Chapter 10 Style Transfer of Abstract Drum Patterns Using a Light-Weight Hierarchical Autoencoder
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    Chapter 11 Assessing the Potential of Classical Q-learning in General Game Playing
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    Chapter 12 Visual Rationalizations in Deep Reinforcement Learning for Atari Games
Attention for Chapter 11: Assessing the Potential of Classical Q-learning in General Game Playing
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mendeley
12 Mendeley
Summary
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Chapter title
Assessing the Potential of Classical Q-learning in General Game Playing
Chapter number 11
Book title
Artificial Intelligence
Published by
Springer, Cham, November 2018
DOI 10.1007/978-3-030-31978-6_11
Book ISBNs
978-3-03-031977-9, 978-3-03-031978-6
Authors

Hui Wang, Michael Emmerich, Aske Plaat, Wang, Hui, Emmerich, Michael, Plaat, Aske

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Bachelor 2 17%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 2 17%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 6 50%

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