Matthieu Geist

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 149

Top Venues

CoRR

ICML

NeurIPS

AAMAS

Publications

Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
Time-Constrained Robust MDPs. CoRR (2024)
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. CoRR (2024)
Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
Learning Discrete-Time Major-Minor Mean Field Games. AAAI (2024)
Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist
Averaging log-likelihoods in direct alignment. CoRR (2024)
Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec, Matthieu Geist
Bootstrapping Expectiles in Reinforcement Learning. CoRR (2024)
Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar
Self-Improving Robust Preference Optimization. CoRR (2024)
Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos Garea, Matthieu Geist, Olivier Bachem
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes. ICLR (2024)
Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Chamorro-Martínez
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space. CoRR (2024)
Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR (2024)
Zida Wu, Mathieu Laurière, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin, Ankur Mehta
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning. AAMAS (2024)
Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. CoRR (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
MusicRL: Aligning Music Generation to Human Preferences. CoRR (2024)
Zida Wu, Mathieu Laurière, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin, Ankur Mehta
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning. CoRR (2024)
Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
RRLS : Robust Reinforcement Learning Suite. CoRR (2024)
Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot
Nash Learning from Human Feedback. CoRR (2023)
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR (2023)
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) (2023)
Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi
Get Back Here: Robust Imitation by Return-to-Distribution Planning. CoRR (2023)
Pierre Clavier, Erwan Le Pennec, Matthieu Geist
Towards Minimax Optimality of Model-based Robust Reinforcement Learning. CoRR (2023)
Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
Learning Discrete-Time Major-Minor Mean Field Games. CoRR (2023)
Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning. ICML (2023)
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
On Imitation in Mean-field Games. CoRR (2023)
Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. ICML (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS (2023)
Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
Extreme Q-Learning: MaxEnt RL without Entropy. ICLR (2023)
Othmane-Latif Ouabi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
Pose-graph SLAM Using Multi-order Ultrasonic Echoes and Beamforming for Long-range Inspection Robots. ICRA (2023)
Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning. CoRR (2023)
Rishabh Agarwal, Nino Vieillard, Piotr Stanczyk, Sabela Ramos, Matthieu Geist, Olivier Bachem
GKD: Generalized Knowledge Distillation for Auto-regressive Sequence Models. CoRR (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR (2023)
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR (2023)
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Baris Can Yalçin, Matthieu Geist, Miguel A. Olivares-Méndez
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. CoRR (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR (2023)
Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR (2023)
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
On Imitation in Mean-field Games. NeurIPS (2023)
Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
Extreme Q-Learning: MaxEnt RL without Entropy. CoRR (2023)
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. ICML (2023)
Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. CoRR (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS (2023)
Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) (2023)
Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. CoRR (2022)
Thibault Lahire, Matthieu Geist, Emmanuel Rachelson
Large Batch Experience Replay. ICML (2022)
Alexis Jacq, Manu Orsini, Gabriel Dulac-Arnold, Olivier Pietquin, Matthieu Geist, Olivier Bachem
C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining. CoRR (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR (2022)
Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist
Offline Reinforcement Learning as Anti-exploration. AAAI (2022)
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
Learning Energy Networks with Generalized Fenchel-Young Losses. CoRR (2022)
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML (2022)
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
Continuous Control with Action Quantization from Demonstrations. ICML (2022)
Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist
Lazy-MDPs: Towards Interpretable RL by Learning When to Act. AAMAS (2022)
Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
Scaling Mean Field Games by Online Mirror Descent. AAMAS (2022)
Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin
Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint. AAMAS (2022)
Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
Learning Energy Networks with Generalized Fenchel-Young Losses. NeurIPS (2022)
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
A general class of surrogate functions for stable and efficient reinforcement learning. AISTATS (2022)
Othmane-Latif Ouabi, Ayoub Ridani, Pascal Pomarede, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
Combined Grid and Feature-based Mapping of Metal Structures with Ultrasonic Guided Waves. ICRA (2022)
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal. CoRR (2022)
Mathieu Laurière, Sarah Perrin, Matthieu Geist, Olivier Pietquin
Learning Mean Field Games: A Survey. CoRR (2022)
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist
Implicitly Regularized RL with Implicit Q-values. AISTATS (2022)
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
Generalization in Mean Field Games by Learning Master Policies. AAAI (2022)
Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act. CoRR (2022)
Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls
Learning Correlated Equilibria in Mean-Field Games. CoRR (2022)
Othmane-Latif Ouabi, Jiawei Yi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming. EUSIPCO (2022)
Antoine Mahé, Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
Evaluation of Prioritized Deep System Identification on a Path Following Task. J. Intell. Robotic Syst. 101 (4) (2021)
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. NeurIPS (2021)
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
Generalization in Mean Field Games by Learning Master Policies. CoRR (2021)
Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist
Offline Reinforcement Learning with Pseudometric Learning. CoRR (2021)
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
Mean Field Games Flock! The Reinforcement Learning Way. CoRR (2021)
Othmane-Latif Ouabi, Pascal Pomarede, Matthieu Geist, Nico F. Declercq, Cédric Pradalier
A FastSLAM Approach Integrating Beamforming Maps for Ultrasound-Based Robotic Inspection of Metal Structures. IEEE Robotics Autom. Lett. 6 (2) (2021)
Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin
Show Me the Way: Intrinsic Motivation from Demonstrations. AAMAS (2021)
Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
Scaling up Mean Field Games with Online Mirror Descent. CoRR (2021)
Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
How to Train Your HERON. IEEE Robotics Autom. Lett. 6 (3) (2021)
Esther Derman, Matthieu Geist, Shie Mannor
Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS (2021)
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist
Implicitly Regularized RL with Implicit Q-Values. CoRR (2021)
Thibault Lahire, Matthieu Geist, Emmanuel Rachelson
Large Batch Experience Replay. CoRR (2021)
Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist
Offline Reinforcement Learning with Pseudometric Learning. ICML (2021)
Johan Ferret, Olivier Pietquin, Matthieu Geist
Self-Imitation Advantage Learning. AAMAS (2021)
Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
Continuous Control with Action Quantization from Demonstrations. CoRR (2021)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR (2021)
Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
Learning Behaviors through Physics-driven Latent Imagination. CoRL (2021)
Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin
Concave Utility Reinforcement Learning: the Mean-field Game viewpoint. CoRR (2021)
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphaël Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
Hyperparameter Selection for Imitation Learning. CoRR (2021)
Esther Derman, Matthieu Geist, Shie Mannor
Twice regularized MDPs and the equivalence between robustness and regularization. CoRR (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. ICLR (2021)
Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
A functional mirror ascent view of policy gradient methods with function approximation. CoRR (2021)
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
What Matters for Adversarial Imitation Learning? CoRR (2021)
Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist
Offline Reinforcement Learning as Anti-Exploration. CoRR (2021)
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
Mean Field Games Flock! The Reinforcement Learning Way. IJCAI (2021)
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
Adversarially Guided Actor-Critic. CoRR (2021)
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. CoRR (2021)
Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
How To Train Your HERON. CoRR (2021)
Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
What Matters for Adversarial Imitation Learning? NeurIPS (2021)
Robert Dadashi, Léonard Hussenot, Matthieu Geist, Olivier Pietquin
Primal Wasserstein Imitation Learning. ICLR (2021)
Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphaël Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin
Hyperparameter Selection for Imitation Learning. ICML (2021)
Erinc Merdivan, Sten Hanke, Matthieu Geist
Modified Actor-Critics. AAMAS (2020)
Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
Momentum in Reinforcement Learning. AISTATS (2020)
Othmane-Latif Ouabi, Pascal Pomarede, Matthieu Geist, Nico F. Declercq, Cédric Pradalier
Monte-Carlo Localization on Metal Plates Based on Ultrasonic Guided Waves. ISER (2020)
Robert Dadashi, Léonard Hussenot, Matthieu Geist, Olivier Pietquin
Primal Wasserstein Imitation Learning. CoRR (2020)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR (2020)
Nino Vieillard, Olivier Pietquin, Matthieu Geist
Munchausen Reinforcement Learning. CoRR (2020)
Assia Benbihi, Stéphanie Arravechia, Matthieu Geist, Cédric Pradalier
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description. ICRA (2020)

Matthieu Geist.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Matthieu Geist