↓ Skip to main content
What is this page? Embed badge

Reinforcement Learning

Overview of attention for book
Cover of 'Reinforcement Learning'

Table of Contents

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

Citations

dimensions_citation
565 Dimensions

Readers on

mendeley
63 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Learning and Using Models
Chapter number 4
Book title
Reinforcement Learning
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-27645-3_4
Book ISBNs
978-3-64-227644-6, 978-3-64-227645-3
Authors

Todd Hester, Peter Stone

Editors

Marco Wiering, Martijn van Otterlo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 4 6%
United States 2 3%
Canada 2 3%
Germany 1 2%
France 1 2%
Italy 1 2%
Poland 1 2%
Unknown 51 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 30%
Researcher 10 16%
Student > Master 7 11%
Student > Doctoral Student 4 6%
Professor > Associate Professor 4 6%
Other 11 17%
Unknown 8 13%
Readers by discipline Count As %
Computer Science 34 54%
Engineering 7 11%
Mathematics 3 5%
Business, Management and Accounting 2 3%
Psychology 2 3%
Other 4 6%
Unknown 11 17%

This page is provided by Altmetric.