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Restless Multi-Armed Bandit in Opportunistic Scheduling

Af: Lin Chen, Kehao Wang Engelsk Paperback

Restless Multi-Armed Bandit in Opportunistic Scheduling

Af: Lin Chen, Kehao Wang Engelsk Paperback
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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.
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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.
Produktdetaljer
Sprog: Engelsk
Sider: 151
ISBN-13: 9783030699611
Indbinding: Paperback
Udgave:
ISBN-10: 3030699617
Kategori: Machine learning
Udg. Dato: 21 maj 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 21 maj 2022
Forfatter(e): Lin Chen, Kehao Wang
Forfatter(e) Lin Chen, Kehao Wang


Kategori Machine learning


ISBN-13 9783030699611


Sprog Engelsk


Indbinding Paperback


Sider 151


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 21 maj 2022


Oplagsdato 21 maj 2022


Forlag Springer Nature Switzerland AG

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