3 papers
math.AP2026
Comparison of neural and spline representations for physics-informed learning
R{é}gis Duvigneau
Physics-informed machine learning as recently emerged as a new paradigm for the resolution of partial differential equations, including functionalities for parametric modeling and…
math.OC2021
Policy-based optimization: single-step policy gradient method seen as an evolution strategy
Jonathan Viquerat, Régis Duvigneau, Philippe Meliga +2
This research reports on the recent development of a black-box optimization method based on single-step deep reinforcement learning (DRL), and on its conceptual proximity to evolut…
math.NA2013
Macroscopic modeling and simulations of room evacuation
Monika Twarogowska, Paola Goatin, Regis Duvigneau
We analyze numerically two macroscopic models of crowd dynamics: the classical Hughes model and the second order model being an extension to pedestrian motion of the Payne-Whitham…