The Resource Deep Reinforcement Learning for Wireless Networks, by F. Richard Yu, Ying He, (electronic resource)

Deep Reinforcement Learning for Wireless Networks, by F. Richard Yu, Ying He, (electronic resource)

Label
Deep Reinforcement Learning for Wireless Networks
Title
Deep Reinforcement Learning for Wireless Networks
Statement of responsibility
by F. Richard Yu, Ying He
Creator
Contributor
Author
Author
Provider
Subject
Language
eng
Summary
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
Member of
http://library.link/vocab/creatorName
Yu, F. Richard
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • BPtw8z-gU5M
  • 0kJa5uzXZ-4
Image bit depth
0
LC call number
TK5103.2-.4885
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • He, Ying.
  • SpringerLink
Series statement
SpringerBriefs in Electrical and Computer Engineering,
http://library.link/vocab/subjectName
  • Wireless communication systems
  • Mobile communication systems
  • Artificial intelligence
  • Telecommunication
  • Wireless and Mobile Communication
  • Artificial Intelligence
  • Communications Engineering, Networks
Label
Deep Reinforcement Learning for Wireless Networks, by F. Richard Yu, Ying He, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
VIII, 71 p. 28 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030105464
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-10546-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-10546-4
Label
Deep Reinforcement Learning for Wireless Networks, by F. Richard Yu, Ying He, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Dimensions
unknown
Extent
VIII, 71 p. 28 illus., 26 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030105464
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-10546-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-10546-4

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