Retrenchment is a framework that allows relatively unrestricted system evolution steps to be described in a way that gives an evolution step some formal content — unlike model b...
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
In this paper we present a gossip based protocol for path discovery in Mobile Ad Hoc Networks (MANETs). While in the classical gossip algorithm each node forwards a packet with th...
Abstract— We investigate two quantities of fundamental interest in a mobile ad-hoc network: the capacity region and the minimum energy function of the network. The capacity regio...
The realization of ubiquitous networks brings new challenges to application development. In this kind of network, services and, more specifically web services, have been used to p...
Luiz Olavo Bonino da Silva Santos, Marten van Sind...