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Matthieu Geist

16 papers at tracked venues · 12 at CORE A* · active 2024–2025

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Venues

NeurIPS ×6ICLR ×3ICML ×2AAAI ×1AAMAS ×1EMNLP ×1IROS ×1UAI ×1

Frequent coauthors

Olivier Pietquin
×6
Pierre Clavier
×4
Olivier Bachem
×4
Mohammad Gheshlaghi Azar
×3
Eugene Choi
×2
Arash Ahmadian
×2
Nathan Grinsztajn
×2
Yannis Flet-Berliac
×2
Florian Strub
×2
Nino Vieillard
×2
Nikola Momchev
×2
Mathieu Laurière
×2

Papers

  1. Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
    NeurIPS 2025 ·
    Till Freihaut
    ,
    Luca Viano
    ,
    Volkan Cevher
    , Matthieu Geist,
    Giorgia Ramponi
  2. Self-Improving Robust Preference Optimization
    ICLR 2025 ·
    Eugene Choi
    ,
    Arash Ahmadian
    , Matthieu Geist,
    Olivier Pietquin
    ,
    Mohammad Gheshlaghi Azar
  3. ShiQ: Bringing back Bellman to LLMs
    NeurIPS 2025 ·
    Pierre Clavier
    ,
    Nathan Grinsztajn
    ,
    Raphaël Avalos
    ,
    Yannis Flet-Berliac
    ,
    Irem Ergün
    ,
    Omar Darwiche Domingues
    ,
    Olivier Pietquin
    ,
    Pierre H. Richemond
    ,
    Florian Strub
    , Matthieu Geist
  4. Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View
    ICLR 2024 ·
    Raj Ghugare
    , Matthieu Geist,
    Glen Berseth
    ,
    Benjamin Eysenbach
  5. Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
    EMNLP 2024 ·
    Yannis Flet-Berliac
    ,
    Nathan Grinsztajn
    ,
    Florian Strub
    ,
    Eugene Choi
    ,
    Bill Wu
    ,
    Chris Cremer
    ,
    Arash Ahmadian
    ,
    Yash Chandak
    ,
    Mohammad Gheshlaghi Azar
    ,
    Olivier Pietquin
    , Matthieu Geist
  6. DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
    IROS 2024 ·
    Matteo El Hariry
    ,
    Antoine Richard
    ,
    Vivek Muralidharan
    , Matthieu Geist,
    Miguel A. Olivares-Méndez
  7. Imitating Language via Scalable Inverse Reinforcement Learning
    NeurIPS 2024 ·
    Markus Wulfmeier
    ,
    Michael Bloesch
    ,
    Nino Vieillard
    ,
    Arun Ahuja
    ,
    Jörg Bornschein
    ,
    Sandy H. Huang
    ,
    Artem Sokolov
    ,
    Matt Barnes
    ,
    Guillaume Desjardins
    ,
    Alex Bewley
    ,
    Sarah Bechtle
    ,
    Jost Tobias Springenberg
    ,
    Nikola Momchev
    ,
    Olivier Bachem
    , Matthieu Geist,
    Martin A. Riedmiller
  8. Learning Discrete-Time Major-Minor Mean Field Games
    AAAI 2024 ·
    Kai Cui
    ,
    Gökçe Dayanikli
    ,
    Mathieu Laurière
    , Matthieu Geist,
    Olivier Pietquin
    ,
    Heinz Koeppl
  9. MusicRL: Aligning Music Generation to Human Preferences
    ICML 2024 ·
    Geoffrey Cideron
    ,
    Sertan Girgin
    ,
    Mauro Verzetti
    ,
    Damien Vincent
    ,
    Matej Kastelic
    ,
    Zalán Borsos
    ,
    Brian McWilliams
    ,
    Victor Ungureanu
    ,
    Olivier Bachem
    ,
    Olivier Pietquin
    , Matthieu Geist,
    Léonard Hussenot
    ,
    Neil Zeghidour
    ,
    Andrea Agostinelli
  10. Nash Learning from Human Feedback
    ICML 2024 ·
    Rémi Munos
    ,
    Michal Valko
    ,
    Daniele Calandriello
    ,
    Mohammad Gheshlaghi Azar
    ,
    Mark Rowland
    ,
    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
  11. Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
    NeurIPS 2024 ·
    Pierre Clavier
    ,
    Laixi Shi
    ,
    Erwan Le Pennec
    ,
    Eric Mazumdar
    ,
    Adam Wierman
    , Matthieu Geist
  12. On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
    ICLR 2024 ·
    Rishabh Agarwal
    ,
    Nino Vieillard
    ,
    Yongchao Zhou
    ,
    Piotr Stanczyk
    ,
    Sabela Ramos Garea
    , Matthieu Geist,
    Olivier Bachem
  13. Periodic agent-state based Q-learning for POMDPs
    NeurIPS 2024 ·
    Amit Sinha
    , Matthieu Geist,
    Aditya Mahajan
  14. Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
    AAMAS 2024 ·
    Zida Wu
    ,
    Mathieu Laurière
    ,
    Samuel Jia Cong Chua
    , Matthieu Geist,
    Olivier Pietquin
    ,
    Ankur Mehta
  15. Time-Constrained Robust MDPs
    NeurIPS 2024 ·
    Adil Zouitine
    ,
    David Bertoin
    ,
    Pierre Clavier
    , Matthieu Geist,
    Emmanuel Rachelson
  16. Towards Minimax Optimality of Model-based Robust Reinforcement Learning
    UAI 2024 ·
    Pierre Clavier
    ,
    Erwan Le Pennec
    , Matthieu Geist