Pierre Menard

Joined

February 2019

Names

Pierre Menard (Preferred)

Pierre MENARD

Emails

****@gmail.com (Confirmed)

****@inria.fr (Confirmed)

****@ovgu.de (Confirmed)

****@ens-lyon.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

Ecole Normale Supérieure de Lyon (ens-lyon.fr)

2022 – 2023

Postdoc

OvGU (ovgu.de)

2020 – 2022

Postdoc

INRIA (inria.fr)

2019 – 2020

PhD student

Institut de mathématiques de Toulouse (univ-toulouse.fr)

2015 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Menard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang et al. (4 additional authors not shown)
- ICLR 2026 Oral
- Readers: Everyone
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
- ICML 2025 poster
- Readers: Everyone
Local and Adaptive Mirror Descents in Extensive-Form Games
Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko
- NeurIPS 2024 poster
- Readers: Everyone
Demonstration-Regularized RL
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Menard
- ICLR 2024 poster
- Readers: Everyone
Model-free Posterior Sampling via Learning Rate Randomization
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre MENARD
- NeurIPS 2023 poster
- Readers: Everyone
Adapting to game trees in zero-sum imperfect information games
Côme Fiegel, Pierre MENARD, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko
- ICML 2023 OralPoster
- Readers: Everyone
Fast Rates for Maximum Entropy Exploration
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre MENARD
- ICML 2023 Poster
- Readers: Everyone
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo
- ICML 2023 Poster
- Readers: Everyone
Learning Generative Models with Goal-conditioned Reinforcement Learning
Mariana Vargas Vieyra, Pierre Ménard
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Fast Rates for Maximum Entropy Exploration
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Ménard
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone

View all 59 publications

Co-Authors

View all 72 co-authors