We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Abstract. Mobile ad hoc networks are a class of highly dynamic networks. In previous work, we developed a new routing algorithm, called AntHocNet, for these challenging network env...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
The facility positioning3 problem concerns the location of facilities such as bus-stops, fire stations, schools, so as to optimize one or several objectives. This paper contributes...
Sana Moujahed, Olivier Simonin, Abderrafiaa Koukam...
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...