Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
Storage accounts for a significant amount of a data center's ever increasing power budget. As a consequence, energy consumption has joined performance and reliability as a do...
Kevin M. Greenan, Darrell D. E. Long, Ethan L. Mil...
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Abstract— The sparsification of the reluctance matrix L−1 (where L denotes the usual inductance matrix L) has been widely used in several recent investigations to make the pro...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...