We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
New directions in learning and control of stochastic networks.
- Authors
Jain, Rahul; Kamble, Vijay
- Abstract
First, there has been a surge of interest in applying machine learning techniques to the control of stochastic networks arising in modern communications applications like cloud computing and data centers. These developments have led to a growing body of literature on the control of stochastic networks with novel architectures and at the interface of these control mechanisms with machine learning and strategic behavior. The theory of stochastic networks and their control has a long history of applications in fields as diverse as operations research, management science, economics, and communications.
- Subjects
STOCHASTIC control theory; OPERATIONS research; ARTIFICIAL intelligence; QUEUING theory
- Publication
Queueing Systems, 2022, Vol 100, Issue 1/2, p133
- ISSN
0257-0130
- Publication type
Article
- DOI
10.1007/s11134-021-09729-4