Nicolas Lanzetti

Nicolas Lanzetti

Scientific Publications

Published

Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance

ArXiv

Nicolas Lanzetti, Efe Balta, Dominic Liao-McPherson, Florian Dörfler

2023

Collection

Published

Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions

IEEE Transactions on Network Science and Engineering

Pages 1-18

Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone

2022

Doi.org Collection

Published

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions

Proceedings of, the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi

2022

Doi.org Collection

Published

Analysis and Control of Autonomous Mobility-on-Demand Systems

Annual Review of Control, Robotics, and Autonomous Systems

Vol 5 Pages 633-658

Gioele Zardini, Nicolas Lanzetti, Marco Pavone, Emilio Frazzoli

2022

Doi.org Collection

Published

Game Theory to Study Interactions between Mobility Stakeholders

24th IEEE International Conference on Intelligent Transportation Systems (ITSC)

Pages 2054-2061

Gioele Zardini, Nicolas Lanzetti, Laura Guerrini, Emilio Frazzoli, Florian Dörfler

2021

Doi.org Collection

Research projects as Researcher

Title

Principal Investigators

Optimization Flows on Probability Distribution Spaces

Florian Dörfler

Summary

We want to develop continuous-time optimality-seeking algorithms on the space of probability distributions. We envision our approach to result in practically useful algorithms to probabilistic (e.g. distributionally robust) optimization problems. Furthermore, our framework is directly applicable to optimization and control of traffic flow in a density modelling approach or a continuum modelling of multi-agent systems.

People involved