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...
Global constraints are used in constraint programming to help users specify patterns that occur frequently in the real world. In addition, global constraints facilitate the use of ...
— We present a control approach that uses a library of trajectories to establish a global control law or policy. This is an alternative to methods for finding global policies ba...
Geant4 is a very large, highly accurate toolkit for Monte Carlo simulation of particle-matter interaction. It has been applied to high-energy physics, cosmic ray modeling, radiati...
The problem of providing tools to support legally valid negotiations between agents is becoming more and more critical. Agents are supposed to perform crucial tasks autonomously; ...
Roberto Bianchi, Andrea Fontana, Federico Bergenti