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Reinforcement Learning

Overview of attention for book
Cover of 'Reinforcement Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Reinforcement Learning and Markov Decision Processes
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    Chapter 2 Batch Reinforcement Learning
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    Chapter 3 Least-Squares Methods for Policy Iteration
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    Chapter 4 Learning and Using Models
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    Chapter 5 Transfer in Reinforcement Learning: A Framework and a Survey
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    Chapter 6 Sample Complexity Bounds of Exploration
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    Chapter 7 Reinforcement Learning in Continuous State and Action Spaces
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    Chapter 8 Solving Relational and First-Order Logical Markov Decision Processes: A Survey
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    Chapter 9 Hierarchical Approaches
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    Chapter 10 Evolutionary Computation for Reinforcement Learning
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    Chapter 11 Bayesian Reinforcement Learning
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    Chapter 12 Partially Observable Markov Decision Processes
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    Chapter 13 Predictively Defined Representations of State
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    Chapter 14 Game Theory and Multi-agent Reinforcement Learning
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    Chapter 15 Decentralized POMDPs
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    Chapter 16 Psychological and Neuroscientific Connections with Reinforcement Learning
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    Chapter 17 Reinforcement Learning in Games
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    Chapter 18 Reinforcement Learning in Robotics: A Survey
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    Chapter 19 Conclusions, Future Directions and Outlook
Attention for Chapter 14: Game Theory and Multi-agent Reinforcement Learning
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Citations

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Chapter title
Game Theory and Multi-agent Reinforcement Learning
Chapter number 14
Book title
Reinforcement Learning
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-27645-3_14
Book ISBNs
978-3-64-227644-6, 978-3-64-227645-3
Authors

Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere

Editors

Marco Wiering, Martijn van Otterlo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 <1%
Canada 1 <1%
Peru 1 <1%
Italy 1 <1%
Belgium 1 <1%
Iran, Islamic Republic of 1 <1%
Japan 1 <1%
Greece 1 <1%
Unknown 293 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 23%
Student > Master 59 20%
Researcher 28 9%
Student > Bachelor 19 6%
Student > Doctoral Student 17 6%
Other 36 12%
Unknown 73 24%
Readers by discipline Count As %
Computer Science 114 38%
Engineering 61 20%
Mathematics 11 4%
Business, Management and Accounting 5 2%
Energy 5 2%
Other 21 7%
Unknown 85 28%

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