71 citations · 229 across the 21 of their papers we have counts for
4 papers · 1 filter
Learning to solve arithmetic problems with a virtual abacus
Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin
Acquiring mathematical skills is considered a key challenge for modern Artificial Intelligence systems. Inspired by the way humans discover numerical knowledge, here we introduce a…
A developmental approach for training deep belief networks
Matteo Zambra, Alberto Testolin, Marco Zorzi
Deep belief networks (DBNs) are stochastic neural networks that can extract rich internal representations of the environment from the sensory data. DBNs had a catalytic effect in t…
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Samuel Cognolato, Alberto Testolin
Mathematical reasoning is one of the most impressive achievements of human intellect but remains a formidable challenge for artificial intelligence systems. In this work we explore…
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini, Federico Mason, Francesco Pase +4
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (UAVs) in monitoring and remote area surveillance applications has become widespread thanks to the price redu…