The Resource Design of experiments for reinforcement learning, Christopher Gatti

Design of experiments for reinforcement learning, Christopher Gatti

Label
Design of experiments for reinforcement learning
Title
Design of experiments for reinforcement learning
Statement of responsibility
Christopher Gatti
Creator
Author
Subject
Genre
Language
eng
Summary
This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems
Member of
Cataloging source
E7B
http://library.link/vocab/creatorName
Gatti, Christopher
Dewey number
006.31
Illustrations
illustrations
Index
no index present
LC call number
Q325.6
LC item number
.G388 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer Theses,
http://library.link/vocab/subjectName
  • Reinforcement learning
  • Artificial intelligence
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • Artificial intelligence
  • Reinforcement learning
  • Engineering
  • Computational Intelligence
  • Logic Design
  • Artificial Intelligence (incl. Robotics)
  • Computer architecture & logic design
  • Artificial intelligence
Label
Design of experiments for reinforcement learning, Christopher Gatti
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-12197-0
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Reinforcement Learning. Design of Experiments -- Methodology -- The Mountain Car Problem -- The Truck Backer-Upper Problem -- The Tandem Truck Backer-Upper Problem -- Appendices
Dimensions
unknown
Extent
1 online resource (196 pages)
Form of item
online
Isbn
9783319121970
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-12197-0
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)899000243
  • (OCoLC)ocn899000243
Label
Design of experiments for reinforcement learning, Christopher Gatti
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-12197-0
Publication
Copyright
Bibliography note
Includes bibliographical references at the end of each chapters
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Reinforcement Learning. Design of Experiments -- Methodology -- The Mountain Car Problem -- The Truck Backer-Upper Problem -- The Tandem Truck Backer-Upper Problem -- Appendices
Dimensions
unknown
Extent
1 online resource (196 pages)
Form of item
online
Isbn
9783319121970
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-319-12197-0
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)899000243
  • (OCoLC)ocn899000243

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