Fiegel, Côme

5 publications

ICML 2025 The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback Côme Fiegel, Pierre Menard, Tadashi Kozuno, Michal Valko, Vianney Perchet

NeurIPS 2024 Local and Adaptive Mirror Descents in Extensive-Form Games Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko

ICML 2024 Nash Learning from Human Feedback Remi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Côme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J Mankowitz, Doina Precup, Bilal Piot

ICML 2023 Adapting to Game Trees in Zero-Sum Imperfect Information Games Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko

AISTATS 2020 Adaptive Multi-Fidelity Optimization with Fast Learning Rates Côme Fiegel, Victor Gabillon, Michal Valko