Academic Technology Services at the University of Rochester is in the process of revamping its student staff training program. This is in an effort to provide top-notch customer s...
Abstract— A design method is proposed for outputfeedback control of linear systems subject to state and control constraints, additive disturbances and measurement noise. First, n...
In online shopping scenarios, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. Interactive decision...
This article comprises the first theoretical and computational study on mixed integer programming (MIP) models for the connected facility location problem (ConFL). ConFL combines...
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...