@article{1436786,
      author = {Wang, Kehao, and Chen, Lin,},
      url = {http://library.usi.edu/record/1436786},
      title = {Restless multi-armed bandit in opportunistic scheduling /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-030-69959-8},
      recid = {1436786},
      pages = {1 online resource :},
}