Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
This research study was designed to broaden understanding of the publishing of research datasets by distinguishing between the intention to share and the action of sharing. The da...
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
Abstract: We report on ongoing work towards a posteriori detection of illegal information flows for business processes, focusing on the challenges involved in doing so. Resembling ...
The Least Attained Service (LAS) scheduling policy, when used for scheduling packets over the bottleneck link of an Internet path, can greatly reduce the average flow time for sh...
Idris A. Rai, Guillaume Urvoy-Keller, Mary K. Vern...