Coverart for item
The Resource Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, Maxim Lapan

Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, Maxim Lapan

Label
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Title
Deep reinforcement learning hands-on
Title remainder
apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Statement of responsibility
Maxim Lapan
Creator
Author
Subject
Language
eng
Cataloging source
UMI
http://library.link/vocab/creatorName
Lapan, Maxim
Illustrations
illustrations
Index
index present
LC call number
Q325.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Reinforcement learning
  • Machine learning
  • Natural language processing (Computer science)
  • Artificial intelligence
Label
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, Maxim Lapan
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781788834247
Instantiates
Publication
Note
"Expert insight."
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
on1046682461
Dimensions
unknown
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781788839303
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000982
System control number
  • (Sirsi) o1046682461
  • (OCoLC)1046682461
Label
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, Maxim Lapan
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781788834247
Publication
Note
"Expert insight."
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
on1046682461
Dimensions
unknown
Extent
1 online resource (1 volume)
Form of item
online
Isbn
9781788839303
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Sound
unknown sound
Specific material designation
remote
Stock number
CL0500000982
System control number
  • (Sirsi) o1046682461
  • (OCoLC)1046682461

Library Locations

    • Merrimack Valley Library ConsortiumBorrow it
      4 High Street, Suite 175, North Andover, MA, 01845, US
      42.7009413 -71.1255084
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