Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Restless multi-armed bandit in oppor...
~
Chen, Lin.
Restless multi-armed bandit in opportunistic scheduling
Record Type:
Electronic resources : Monograph/item
Title/Author:
Restless multi-armed bandit in opportunistic schedulingby Kehao Wang, Lin Chen.
Author:
Wang, Kehao.
other author:
Chen, Lin.
Published:
Cham :Springer International Publishing :2021.
Description:
xii, 151 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Wireless communication systemsMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-69959-8
ISBN:
9783030699598$q(electronic bk.)
Restless multi-armed bandit in opportunistic scheduling
Wang, Kehao.
Restless multi-armed bandit in opportunistic scheduling
[electronic resource] /by Kehao Wang, Lin Chen. - Cham :Springer International Publishing :2021. - xii, 151 p. :ill., digital ;24 cm.
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization.
ISBN: 9783030699598$q(electronic bk.)
Standard No.: 10.1007/978-3-030-69959-8doiSubjects--Topical Terms:
558619
Wireless communication systems
--Mathematical models.
LC Class. No.: TK5103.2 / .W36 2021
Dewey Class. No.: 621.3845
Restless multi-armed bandit in opportunistic scheduling
LDR
:02475nmm a2200325 a 4500
001
598604
003
DE-He213
005
20210519113114.0
006
m d
007
cr nn 008maaau
008
211025s2021 sz s 0 eng d
020
$a
9783030699598$q(electronic bk.)
020
$a
9783030699581$q(paper)
024
7
$a
10.1007/978-3-030-69959-8
$2
doi
035
$a
978-3-030-69959-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK5103.2
$b
.W36 2021
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
621.3845
$2
23
090
$a
TK5103.2
$b
.W246 2021
100
1
$a
Wang, Kehao.
$3
892423
245
1 0
$a
Restless multi-armed bandit in opportunistic scheduling
$h
[electronic resource] /
$c
by Kehao Wang, Lin Chen.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xii, 151 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
520
$a
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization.
650
0
$a
Wireless communication systems
$x
Mathematical models.
$3
558619
650
0
$a
Computer scheduling.
$3
264980
650
1 4
$a
Communications Engineering, Networks.
$3
273745
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Machine Learning.
$3
833608
700
1
$a
Chen, Lin.
$3
745330
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-69959-8
950
$a
Engineering (SpringerNature-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000197287
電子館藏
1圖書
電子書
EB TK5103.2 .W246 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-69959-8
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login