Omar Abbadi

I am a PhD student, supervised by Rida Laraki and Panayotis Mertikopoulos, doing a joint PhD between the Moroccan Center for Game Theory at UM6P and the GHOST team at Inria, Université Grenoble Alpes. My research lies at the intersection of game theory, machine learning and dynamical systems, studying how strategic agents adapt over time and how their preferences and the game's structure shape long-run behavior.

Prior to my PhD, I graduated from the Master in Optimization of Institut Polytechnique de Paris and Université Paris-Saclay, and completed my master’s thesis at EDF R&D Saclay.

Mail : omar.abbadi@um6p.ma

Google Scholar

Publications

O. Abbadi, R. Laraki, and P. Mertikopoulos, “What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning” in International Conference on Machine Learning (ICML 2026), [Spotlight + Oral]
O. Abbadi, R. Laraki, and P. Mertikopoulos, “Preference Graphs and the Attractors of Regularized Learning in Games” in Dynamics at the Frontiers of Optimization, Sampling, and Games (DynaFront), Workshop at NeurIPS 2025

Events

Oral and poster presentation at ICML 2026, Seoul, South Korea.
Poster presentation at the 30 Years of Game Theory Conference, Institut Henri Poincaré, Paris, France.
Helped organize the Winter School on Data Economics, UM6P, Rabat, Morocco.

Teaching

“Convex Optimization and Online Algorithms” with Sylvain Sorin, UM6P Rabat, 2025.