The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
We propose an algorithm for assessing probabilistic performance constraints for systems including components with uncertain delays. We make a case for designing systems based on a...
Gustavo de Veciana, Margarida F. Jacome, J.-H. Guo
Abstract. We propose generalizations of the Global Cardinality Constraint (gcc) in which a partition of the variables is given. In the context of resource allocation problems, such...
raction levels of communication models to allow designers to trade off between performance and accuracy. Contrary to [2][3], we present an optimization method which preserves the a...
A hybrid approach that utilizes both statistical techniques and empirical methods seeks to provide more information about the performance of an application. In this paper, we prese...