activity
20212023
most citedControl-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control

3 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA20231 cited

Time multiscale modeling of sorption kinetics I: uniformly accurate schemes for highly oscillatory advection-diffusion equation

Clarissa Astuto, Mohammed Lemou, Giovanni Russo

In this paper we propose a numerical method to solve a 2D advection-diffusion equation, in the highly oscillatory regime. We use an efficient and robust integrator which leads to a…

math.AP2023

The mathematical theory of Hughes' model: a survey of results

Debora Amadori, Boris Andreianov, Marco Di Francesco +9

We provide an overview of the results on Hughes' model for pedestrian movements available in the literature. After the first successful approaches to solving a regularised version…

physics.soc-ph2023

Reconstructing higher-order interactions in coupled dynamical systems

Federico Malizia, Alessandra Corso, Lucia Valentina Gambuzza +3

Higher-order interactions play a key role for the stability and function of a complex system. However, how to identify them is still an open problem. Here, we propose a method to f…

math.OC2023

Optimal Decision-Making for Autonomous Agents via Data Composition

Emiland Garrabe, Martina Lamberti, Giovanni Russo

We consider the problem of designing agents able to compute optimal decisions by composing data from multiple sources to tackle tasks involving: (i) tracking a desired behavior whi…

math.OC2023

Euclidean Contractivity of Neural Networks with Symmetric Weights

Veronica Centorrino, Anand Gokhale, Alexander Davydov +2

This paper investigates stability conditions of continuous-time Hopfield and firing-rate neural networks by leveraging contraction theory. First, we present a number of useful gene…

math.NA20223 cited

Implicit and semi-implicit well-balanced finite-volume methods for systems of balance laws

Irene Gómez-Bueno, Sebastiano Boscarino, Manuel Jesús Castro +2

The aim of this work is to design implicit and semi-implicit high-order well-balanced finite-volume numerical methods for 1D systems of balance laws. The strategy introduced by two…