57 citations · 149 across the 19 of their papers we have counts for
3 papers · 1 filter
A policy iteration method for Mean Field Games
Simone Cacace, Fabio Camilli, Alessandro Goffi
The policy iteration method is a classical algorithm for solving optimal control problems. In this paper, we introduce a policy iteration method for Mean Field Games systems, and w…
A Mean Field Games model for finite mixtures of Bernoulli and Categorical distributions
Laura Aquilanti, Simone Cacace, Fabio Camilli +1
Finite mixture models are an important tool in the statistical analysis of data, for example in data clustering. The optimal parameters of a mixture model are usually computed by m…
Optimal reachability and grasping for a soft manipulator
Simone Cacace, Anna Chiara Lai, Paola Loreti
We investigate optimal reachability and grasping problems for a planar soft manipulator, from both a theoretical and numerical point of view. The underlying control model describes…