Restless Multi-Armed Bandit in Opportunistic Scheduling
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Beschreibung
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.
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
Autor*in
Kehao Wang
Themen in »Restless Multi-Armed Bandit in Opportunistic Scheduling«
Opportunistic scheduling Restless bandit Optimality Myopic policy Whittle index