Traditional goal-oriented approaches to building intelligent agents only consider absolute satisfaction of goals. However, in continuous domains there may be many instances in whi...
Abstract. We study a model in which a group of agents make a sequence of collective decisions on whether to remain in the current state of the system or switch to an alternative st...
Quality of Service (QoS) management becomes more and more important, especially in networks where many applications are competing for a limited number of resources. As these appli...
Stefan Fischer, Abdelhakim Hafid, Gregor von Bochm...
A major challenge in efficiently solving distributed resource allocation problems is to cope with the dynamic state changes that characterise such systems. An effective solution t...
Partha Sarathi Dutta, Nicholas R. Jennings, Luc Mo...
Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...