Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
We coordinate in discrete time the interaction of two heterogeneous groups of mobile agents: a group of ground vehicles (ugvs) and a group of aerial vehicles (uavs). The ground ag...
s of Invited Presentations The Mathematics of Matter and the Mathematics of Mind . . . . . . . . . . . . . 1 David Berlinski A Grand Challenge: Full Reactive Modeling of a Multi-ce...
— This paper addresses the problem of restoring standing in paralegia via functional electrical stimulation (FES) and investigates the relashionship between body posture and volu...
Gael Pages, Nacim Ramdani, Philippe Fraisse, David...
In spoken communications, correction utterances, which are utterances correcting other participants utterances and behaviors, play crucial roles, and detecting them is one of the ...