2 papers
eess.SY2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
Saghar Adler, Vijay Subramanian
Models of many real-life applications, such as queuing models of communication networks or computing systems, have a countably infinite state-space. Algorithmic and learning proced…
eess.SY2022
Learning to Admit Optimally in an Queueing System with Unknown Service Rate
Saghar Adler, Mehrdad Moharrami, Vijay Subramanian
Motivated by applications of the Erlang-B blocking model and the extended model that allows for some queueing, beyond communication networks to sizing and pricing in pr…