We introduce and study problems of distributed observation with bounded or unbounded memory. We are given a system modeled as a finite-word language L over some finite alphabet ...
Abstract—To achieve higher reliability, safety, and faulttolerance, many mission-critical detection and decision systems implement consensus algorithms that force the systems’ ...
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
In this paper, we present a new Integer Program (IP) for the Air Traffic Flow Management (ATFM) problem. The model we propose provides a complete representation of all the phases o...
Dimitris Bertsimas, Guglielmo Lulli, Amedeo R. Odo...
Alerting systems and related decision-making automation are widely used to enhance the safety and capability of controlled processes across many applications. Traditional alerting ...