We consider real-time games where the goal consists, for each player, in maximizing the average amount of reward he or she receives per time unit. We consider zero-sum rewards, so ...
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, the technology continues to face challenges i...
As the complexity of industrial processes increases, it requires the use of intelligent sensors or actuators (known as Intelligent Instruments) to allow for more comprehensive and...
Richard Dapoigny, Patrick Barlatier, Laurent Foull...