The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
Abstract. This paper adopts an interdisciplinary view of the significant elements of ecosystems and the methods by which these might be simulated to explore theoretical issues of r...
In this paper, we present a method for rendering deformations as part of the programmable shader pipeline of contemporary Graphical Processing Units. In our method, we allow gener...
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
We study the connectivity properties of a family of random graphs which closely model the Bluetooth’s device discovery process, where each device tries to connect to other device...
Pilu Crescenzi, Carlo Nocentini, Andrea Pietracapr...