We then discuss the requirements of statistical learning for service parameter estimation. This connects queueing theoretic results with adversarial learning. We prove that the MaxWeight policy is an application of Blackwell’s Approachability Theorem. We present observations and new results that help rationalize the application of these areas to queueing systems. In recent years, techniques from supervised learning, online learning and reinforcement learning have been applied to queueing systems supported by the increasing role of information in decision making. We review the role of information and learning in the stability and optimization of queueing systems. Learning and Information in Stochastic Networks and Queues INFORMS Workshop on Data Mining & Decision Analytics.Early Career Teachers’ Network Workshop.1st INFORMS Workshop on Quality, Statistics & Reliability.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |