Lucia Pezzetti

Lucia Pezzetti


PhD Student @ ETH AI Center

Multi-Agent RL, Mean Field Games, Optimal Transport

Hi! I am a PhD student at ETH Zurich and a Doctoral Fellow at the ETH AI Center. I am lucky to be advised by Prof. Florian Dörfler (Automatic Control Lab ) and Prof. Giorgia Ramponi (Autonomous Learning and Predictive Intelligence Lab ). My PhD research focuses on scalable methods for coordinating large populations of agents, combining multi-agent reinforcement learning, mean field games, optimal transport, and data-driven optimal control, with applications in mobility and urban systems.

Before starting my PhD, I completed my MSc Degree at the University of Torino focusing on principled sampling methods for wide Bayesian Neural Networks under the supervision of Prof. Stefano Favaro and Dr. Stefano Peluchetti.

Most weekends, you’ll find me outdoors, on a bike, on a trail, or halfway up a via ferrata. I love exploring new places and appreciate good company along the way.


ETH Zurich, Switzerland

News

24 Sep 2026
Our paper A Separation Principle for Cooperative Multi-Agent Reinforcement Learning has been accepted at NeurIPS 2026.
10 July 2026
Our paper A Separation Principle for Cooperative Multi-Agent Reinforcement Learning has been accepted as an Oral at EWRL 2026.

Recent Publications

NeurIPS
A Separation Principle for Cooperative Multi-Agent Reinforcement Learning
Lucia Pezzetti, Nicolas Lanzetti, Antonio Terpin, Florian Dörfler, Giorgia Ramponi
Advances in Neural Information Processing Systems (NeurIPS 2026)