We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
We present a brokering service for the adaptive management of composite services. The goal of this broker is to dynamically adapt at runtime the composite service configuration, ...
Abstract—Over the past years, location-based routing protocols have been studied extensively in mobile ad hoc networks (MANETs). However, how to efficiently provide the location ...
This paper applies three different control techniques to the design of a quarter car semiactive suspension system. The three techniques, originally developed to solve a constrain...
Interoperability of heterogeneous networked systems has yet to reach the maturity required by ubiquitous computing due to the technology-dependent nature of solutions. The Connect ...
Marco Autili, Chris Chilton, Paola Inverardi, Mart...