Matthieu Geist

240 papers A* 50A 21B 2C 5Misc 4Journal 118Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation. CoRR Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist
2026	J	`jnl`	Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games. CoRR Lorenzo Magnino, Jiacheng Shen, Matthieu Geist, Olivier Pietquin, Mathieu Laurière
2026	J	`jnl`	Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval. CoRR Ilyass Moummad, Marius Miron, David Robinson, Kawtar Zaher, Hervé Goëau, Olivier Pietquin, Pierre Bonnet, Emmanuel Chemla, Matthieu Geist, Alexis Joly
2026	J	`jnl`	Multi-agent imitation learning with function approximation: Linear Markov games and beyond. CoRR Luca Viano, Till Freihaut, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025	—	`conf`	Convergence of regularized agent-state-based Q-learning in POMDPs. CDC Amit Sinha, Matthieu Geist, Aditya Mahajan
2025	J	`jnl`	Convergence of regularized agent-state-based Q-learning in POMDPs. CoRR Amit Sinha, Matthieu Geist, Aditya Mahajan
2025	J	`jnl`	Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning. CoRR Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025	J	`jnl`	Learning Tool-Aware Adaptive Compliant Control for Autonomous Regolith Excavation. CoRR Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Martínez
2025	J	`jnl`	NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation. CoRR Matteo El Hariry, Antoine Richard, Ricard M. Castan, Luis F. W. Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez
2025	—	`conf`	Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning. CDC Zida Wu, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Ankur Mehta
2025	J	`jnl`	Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning. CoRR Zida Wu, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Ankur Mehta
2025	J	`jnl`	RL-AVIST: Reinforcement Learning for Autonomous Visual Inspection of Space Targets. CoRR Matteo El Hariry, Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez
2025	J	`jnl`	Rate optimal learning of equilibria from data. CoRR Till Freihaut, Luca Viano, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025	J	`jnl`	RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation. Trans. Mach. Learn. Res. Matteo El Hariry, Antoine Richard, Ricard Marsal, Luis Felipe Wolf Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez
2025	A*	`conf`	Self-Improving Robust Preference Optimization. ICLR Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar
2025	J	`jnl`	ShiQ: Bringing back Bellman to LLMs. CoRR Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergün, Omar Darwiche Domingues, Eugene Tarassov, Olivier Pietquin, Pierre H. Richemond, Florian Strub, Matthieu Geist
2025	J	`jnl`	Sim2Dust: Mastering Dynamic Waypoint Tracking on Granular Media. CoRR Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Martínez
2025	J	`jnl`	Space Robotics Bench: Robot Learning Beyond Earth. CoRR Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Martínez
2025	J	`jnl`	What Matters for Bioacoustic Encoding. CoRR Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist
2024	J	`jnl`	A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. Trans. Mach. Learn. Res. Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
2024	J	`jnl`	Averaging log-likelihoods in direct alignment. CoRR Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist
2024	J	`jnl`	Bootstrapping Expectiles in Reinforcement Learning. CoRR Pierre Clavier, Emmanuel Rachelson, Erwan Le Pennec, Matthieu Geist
2024	A*	`conf`	Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
2024	J	`jnl`	Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. CoRR Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
2024	A*	`conf`	Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. EMNLP Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024	J	`jnl`	Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. CoRR Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024	A	`conf`	DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. IROS Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Méndez
2024	A*	`conf`	Imitating Language via Scalable Inverse Reinforcement Learning. NeurIPS 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
2024	J	`jnl`	Imitating Language via Scalable Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	A*	`conf`	Learning Discrete-Time Major-Minor Mean Field Games. AAAI Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2024	J	`jnl`	Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space. CoRR Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez, Carol Chamorro-Martínez
2024	A*	`conf`	MusicRL: Aligning Music Generation to Human Preferences. ICML 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
2024	J	`jnl`	MusicRL: Aligning Music Generation to Human Preferences. CoRR 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
2024	A*	`conf`	Nash Learning from Human Feedback. ICML 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
2024	A*	`conf`	Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms. NeurIPS Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist
2024	A*	`conf`	On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes. ICLR Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos Garea, Matthieu Geist, Olivier Bachem
2024	A*	`conf`	Periodic agent-state based Q-learning for POMDPs. NeurIPS Amit Sinha, Matthieu Geist, Aditya Mahajan
2024	J	`jnl`	Periodic agent-state based Q-learning for POMDPs. CoRR Amit Sinha, Matthieu Geist, Aditya Mahajan
2024	A	`conf`	Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning. AAMAS Zida Wu, Mathieu Laurière, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin, Ankur Mehta
2024	J	`jnl`	Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning. CoRR Zida Wu, Mathieu Laurière, Samuel Jia Cong Chua, Matthieu Geist, Olivier Pietquin, Ankur Mehta
2024	J	`jnl`	RRLS : Robust Reinforcement Learning Suite. CoRR Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
2024	J	`jnl`	Self-Improving Robust Preference Optimization. CoRR Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar
2024	J	`jnl`	Solving robust MDPs as a sequence of static RL problems. CoRR Adil Zouitine, Matthieu Geist, Emmanuel Rachelson
2024	A*	`conf`	Time-Constrained Robust MDPs. NeurIPS Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
2024	J	`jnl`	Time-Constrained Robust MDPs. CoRR Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
2024	A	`conf`	Towards Minimax Optimality of Model-based Robust Reinforcement Learning. UAI Pierre Clavier, Erwan Le Pennec, Matthieu Geist
2024	J	`jnl`	Understanding Likelihood Over-optimisation in Direct Alignment Algorithms. CoRR Zhengyan Shi, Sander Land, Acyr Locatelli, Matthieu Geist, Max Bartolo
2023	A*	`conf`	A Connection between One-Step RL and Critic Regularization in Reinforcement Learning. ICML Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
2023	J	`jnl`	A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning. CoRR Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov
2023	J	`jnl`	A Survey of Temporal Credit Assignment in Deep Reinforcement Learning. CoRR Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
2023	J	`jnl`	DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories. CoRR Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Baris Can Yalçin, Matthieu Geist, Miguel A. Olivares-Méndez
2023	A*	`conf`	Extreme Q-Learning: MaxEnt RL without Entropy. ICLR Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
2023	J	`jnl`	Extreme Q-Learning: MaxEnt RL without Entropy. CoRR Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
2023	—	`conf`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) 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
2023	J	`jnl`	Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR 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
2023	J	`jnl`	GKD: Generalized Knowledge Distillation for Auto-regressive Sequence Models. CoRR Rishabh Agarwal, Nino Vieillard, Piotr Stanczyk, Sabela Ramos, Matthieu Geist, Olivier Bachem
2023	J	`jnl`	Get Back Here: Robust Imitation by Return-to-Distribution Planning. CoRR Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi
2023	J	`jnl`	Learning Discrete-Time Major-Minor Mean Field Games. CoRR Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2023	J	`jnl`	Nash Learning from Human Feedback. CoRR 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
2023	—	`conf`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	J	`jnl`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	A*	`conf`	On Imitation in Mean-field Games. NeurIPS Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
2023	J	`jnl`	On Imitation in Mean-field Games. CoRR Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
2023	A*	`conf`	Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
2023	J	`jnl`	Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
2023	A*	`conf`	Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. ICML Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
2023	A*	`conf`	Pose-graph SLAM Using Multi-order Ultrasonic Echoes and Beamforming for Long-range Inspection Robots. ICRA Othmane-Latif Ouabi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
2023	A*	`conf`	Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. ICML 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
2023	J	`jnl`	Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR 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
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	Towards Minimax Optimality of Model-based Robust Reinforcement Learning. CoRR Pierre Clavier, Erwan Le Pennec, Matthieu Geist
2023	J	`jnl`	Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor
2022	A	`conf`	A general class of surrogate functions for stable and efficient reinforcement learning. AISTATS Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Müller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
2022	J	`jnl`	C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining. CoRR Alexis Jacq, Manu Orsini, Gabriel Dulac-Arnold, Olivier Pietquin, Matthieu Geist, Olivier Bachem
2022	A*	`conf`	Combined Grid and Feature-based Mapping of Metal Structures with Ultrasonic Guided Waves. ICRA Othmane-Latif Ouabi, Ayoub Ridani, Pascal Pomarede, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
2022	A	`conf`	Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint. AAMAS Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin
2022	A*	`conf`	Continuous Control with Action Quantization from Demonstrations. ICML Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
2022	A*	`conf`	Generalization in Mean Field Games by Learning Master Policies. AAAI Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
2022	A	`conf`	Implicitly Regularized RL with Implicit Q-values. AISTATS Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal. CoRR 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
2022	A*	`conf`	Large Batch Experience Replay. ICML Thibault Lahire, Matthieu Geist, Emmanuel Rachelson
2022	A	`conf`	Lazy-MDPs: Towards Interpretable RL by Learning When to Act. AAMAS Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act. CoRR Alexis Jacq, Johan Ferret, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Learning Correlated Equilibria in Mean-Field Games. CoRR Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls
2022	A*	`conf`	Learning Energy Networks with Generalized Fenchel-Young Losses. NeurIPS Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
2022	J	`jnl`	Learning Energy Networks with Generalized Fenchel-Young Losses. CoRR Mathieu Blondel, Felipe Llinares-López, Robert Dadashi, Léonard Hussenot, Matthieu Geist
2022	J	`jnl`	Learning Mean Field Games: A Survey. CoRR Mathieu Laurière, Sarah Perrin, Matthieu Geist, Olivier Pietquin
2022	A*	`conf`	Offline Reinforcement Learning as Anti-exploration. AAAI Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. CoRR Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
2022	—	`conf`	Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming. EUSIPCO Othmane-Latif Ouabi, Jiawei Yi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier
2022	A*	`conf`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
2022	J	`jnl`	Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
2022	A	`conf`	Scaling Mean Field Games by Online Mirror Descent. AAMAS Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
2021	J	`jnl`	A FastSLAM Approach Integrating Beamforming Maps for Ultrasound-Based Robotic Inspection of Metal Structures. IEEE Robotics Autom. Lett. Othmane-Latif Ouabi, Pascal Pomarede, Matthieu Geist, Nico F. Declercq, Cédric Pradalier
2021	J	`jnl`	A functional mirror ascent view of policy gradient methods with function approximation. CoRR Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
2021	A*	`conf`	Adversarially Guided Actor-Critic. ICLR Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	J	`jnl`	Adversarially Guided Actor-Critic. CoRR Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	J	`jnl`	Concave Utility Reinforcement Learning: the Mean-field Game viewpoint. CoRR Matthieu Geist, Julien Pérolat, Mathieu Laurière, Romuald Elie, Sarah Perrin, Olivier Bachem, Rémi Munos, Olivier Pietquin
2021	J	`jnl`	Continuous Control with Action Quantization from Demonstrations. CoRR Robert Dadashi, Léonard Hussenot, Damien Vincent, Sertan Girgin, Anton Raichuk, Matthieu Geist, Olivier Pietquin
2021	J	`jnl`	Evaluation of Prioritized Deep System Identification on a Path Following Task. J. Intell. Robotic Syst. Antoine Mahé, Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
2021	J	`jnl`	Generalization in Mean Field Games by Learning Master Policies. CoRR Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
2021	J	`jnl`	How To Train Your HERON. CoRR Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
2021	J	`jnl`	How to Train Your HERON. IEEE Robotics Autom. Lett. Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier
2021	A*	`conf`	Hyperparameter Selection for Imitation Learning. ICML 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
2021	J	`jnl`	Hyperparameter Selection for Imitation Learning. CoRR 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
2021	J	`jnl`	Implicitly Regularized RL with Implicit Q-Values. CoRR Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist
2021	J	`jnl`	Large Batch Experience Replay. CoRR Thibault Lahire, Matthieu Geist, Emmanuel Rachelson
2021	Misc	`conf`	Learning Behaviors through Physics-driven Latent Imagination. CoRL Antoine Richard, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
2021	A*	`conf`	Mean Field Games Flock! The Reinforcement Learning Way. IJCAI Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
2021	J	`jnl`	Mean Field Games Flock! The Reinforcement Learning Way. CoRR Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
2021	J	`jnl`	Offline Reinforcement Learning as Anti-Exploration. CoRR Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist
2021	A*	`conf`	Offline Reinforcement Learning with Pseudometric Learning. ICML Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist
2021	J	`jnl`	Offline Reinforcement Learning with Pseudometric Learning. CoRR Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist
2021	A*	`conf`	Primal Wasserstein Imitation Learning. ICLR Robert Dadashi, Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2021	J	`jnl`	Scaling up Mean Field Games with Online Mirror Descent. CoRR Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
2021	A	`conf`	Self-Imitation Advantage Learning. AAMAS Johan Ferret, Olivier Pietquin, Matthieu Geist
2021	A	`conf`	Show Me the Way: Intrinsic Motivation from Demonstrations. AAMAS Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin
2021	A*	`conf`	There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. NeurIPS Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	J	`jnl`	There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. CoRR Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	A*	`conf`	Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS Esther Derman, Matthieu Geist, Shie Mannor
2021	J	`jnl`	Twice regularized MDPs and the equivalence between robustness and regularization. CoRR Esther Derman, Matthieu Geist, Shie Mannor
2021	A*	`conf`	What Matters for Adversarial Imitation Learning? NeurIPS Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
2021	J	`jnl`	What Matters for Adversarial Imitation Learning? CoRR Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz
2021	A*	`conf`	What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2020	A	`conf`	CopyCAT: : Taking Control of Neural Policies with Constant Attacks. AAMAS Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2020	A*	`conf`	Deep Conservative Policy Iteration. AAAI Nino Vieillard, Olivier Pietquin, Matthieu Geist
2020	A*	`conf`	Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications. NeurIPS Sarah Perrin, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin
2020	J	`jnl`	Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications. CoRR Sarah Perrin, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin
2020	—	`conf`	Filling Gaps in Micro-meteorological Data. ECML/PKDD (5) Antoine Richard, Lior Fine, Offer Rozenstein, Josef Tanny, Matthieu Geist, Cédric Pradalier
2020	C	`conf`	Foolproof Cooperative Learning. ACML Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin
2020	A*	`conf`	Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description. ICRA Assia Benbihi, Stéphanie Arravechia, Matthieu Geist, Cédric Pradalier
2020	A*	`conf`	Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning. NeurIPS Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
2020	J	`jnl`	Leverage the Average: an Analysis of Regularization in RL. CoRR Nino Vieillard, Tadashi Kozuno, Bruno Scherrer, Olivier Pietquin, Rémi Munos, Matthieu Geist
2020	A	`conf`	Modified Actor-Critics. AAMAS Erinc Merdivan, Sten Hanke, Matthieu Geist
2020	A	`conf`	Momentum in Reinforcement Learning. AISTATS Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
2020	—	`conf`	Monte-Carlo Localization on Metal Plates Based on Ultrasonic Guided Waves. ISER Othmane-Latif Ouabi, Pascal Pomarede, Matthieu Geist, Nico F. Declercq, Cédric Pradalier
2020	A*	`conf`	Munchausen Reinforcement Learning. NeurIPS Nino Vieillard, Olivier Pietquin, Matthieu Geist
2020	J	`jnl`	Munchausen Reinforcement Learning. CoRR Nino Vieillard, Olivier Pietquin, Matthieu Geist
2020	A*	`conf`	On the Convergence of Model Free Learning in Mean Field Games. AAAI Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin
2020	J	`jnl`	Primal Wasserstein Imitation Learning. CoRR Robert Dadashi, Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2020	A*	`conf`	Self-Attentional Credit Assignment for Transfer in Reinforcement Learning. IJCAI Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin
2020	J	`jnl`	Self-Imitation Advantage Learning. CoRR Johan Ferret, Olivier Pietquin, Matthieu Geist
2020	J	`jnl`	Show me the Way: Intrinsic Motivation from Demonstrations. CoRR Léonard Hussenot, Robert Dadashi, Matthieu Geist, Olivier Pietquin
2020	J	`jnl`	Stable and Efficient Policy Evaluation. CoRR Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
2020	J	`jnl`	What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2019	A*	`conf`	A Theory of Regularized Markov Decision Processes. ICML Matthieu Geist, Bruno Scherrer, Olivier Pietquin
2019	J	`jnl`	A Theory of Regularized Markov Decision Processes. CoRR Matthieu Geist, Bruno Scherrer, Olivier Pietquin
2019	J	`jnl`	Approximate Fictitious Play for Mean Field Games. CoRR Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin
2019	J	`jnl`	Credit Assignment as a Proxy for Transfer in Reinforcement Learning. CoRR Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin
2019	J	`jnl`	Deep Conservative Policy Iteration. CoRR Nino Vieillard, Olivier Pietquin, Matthieu Geist
2019	C	`conf`	Deep Reinforcement Learning-based Continuous Control for Multicopter Systems. CoDIT Anush Manukyan, Miguel A. Olivares-Méndez, Matthieu Geist, Holger Voos
2019	A*	`conf`	ELF: Embedded Localisation of Features in Pre-Trained CNN. ICCV Assia Benbihi, Matthieu Geist, Cédric Pradalier
2019	J	`jnl`	ELF: Embedded Localisation of Features in pre-trained CNN. CoRR Assia Benbihi, Matthieu Geist, Cédric Pradalier
2019	J	`jnl`	Foolproof Cooperative Learning. CoRR Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin
2019	J	`jnl`	Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description. CoRR Assia Benbihi, Matthieu Geist, Cédric Pradalier
2019	—	`conf`	Image-Based Text Classification using 2D Convolutional Neural Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis, Sten Hanke, Joahannes Kroph, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui, Matthieu Geist
2019	—	`conf`	Importance Sampling for Deep System Identification. ICAR Antoine Mahé, Antoine Richard, Benjamin Mouscadet, Cédric Pradalier, Matthieu Geist
2019	C	`conf`	Learning Sensor Placement from Demonstration for UAV networks. ISCC Assia Benbihi, Matthieu Geist, Cédric Pradalier
2019	A*	`conf`	Learning from a Learner. ICML Alexis Jacq, Matthieu Geist, Ana Paiva, Olivier Pietquin
2019	J	`jnl`	MULEX: Disentangling Exploitation from Exploration in Deep RL. CoRR Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin
2019	J	`jnl`	Modified Actor-Critics. CoRR Erinc Merdivan, Sten Hanke, Matthieu Geist
2019	J	`jnl`	Momentum in Reinforcement Learning. CoRR Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
2019	J	`jnl`	On Connections between Constrained Optimization and Reinforcement Learning. CoRR Nino Vieillard, Olivier Pietquin, Matthieu Geist
2019	—	`conf`	Semi-supervised Domain Adaptation with Representation Learning for Semantic Segmentation Across Time. ICONIP (5) Assia Benbihi, Matthieu Geist, Cédric Pradalier
2019	J	`jnl`	Stable and Efficient Policy Evaluation. IEEE Trans. Neural Networks Learn. Syst. Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
2019	J	`jnl`	Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations. CoRR Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2018	—	`conf`	A Deep Learning Approach for Privacy Preservation in Assisted Living. PerCom Workshops Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist
2018	J	`jnl`	A Deep Learning Approach for Privacy Preservation in Assisted Living. CoRR Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist
2018	J	`jnl`	Anderson Acceleration for Reinforcement Learning. CoRR Matthieu Geist, Bruno Scherrer
2018	J	`jnl`	Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation. CoRR Assia Benbihi, Matthieu Geist, Cédric Pradalier
2018	J	`jnl`	Human Activity Recognition using Recurrent Neural Networks. CoRR Deepika Singh, Erinc Merdivan, Ismini Psychoula, Johannes Kropf, Sten Hanke, Matthieu Geist, Andreas Holzinger
2018	J	`jnl`	Image-based Natural Language Understanding Using 2D Convolutional Neural Networks. CoRR Erinc Merdivan, Anastasios Vafeiadis, Dimitrios Kalatzis, Sten Hanke, Johannes Kropf, Konstantinos Votis, Dimitrios Giakoumis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui, Matthieu Geist
2017	J	`jnl`	Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Bilal Piot, Matthieu Geist, Olivier Pietquin
2017	C	`conf`	Human Activity Recognition Using Recurrent Neural Networks. CD-MAKE Deepika Singh, Erinc Merdivan, Ismini Psychoula, Johannes Kropf, Sten Hanke, Matthieu Geist, Andreas Holzinger
2017	—	`conf`	Is the Bellman residual a bad proxy? NIPS Matthieu Geist, Bilal Piot, Olivier Pietquin
2017	—	`conf`	Reconstruct & Crush Network. NIPS Erinc Merdivan, Mohammad Reza Loghmani, Matthieu Geist
2016	J	`jnl`	Difference of Convex Functions Programming Applied to Control with Expert Data. CoRR Bilal Piot, Matthieu Geist, Olivier Pietquin
2016	A	`conf`	Score-based Inverse Reinforcement Learning. AAMAS Layla El Asri, Bilal Piot, Matthieu Geist, Romain Laroche, Olivier Pietquin
2016	J	`jnl`	Should one minimize the expected Bellman residual or maximize the mean value? CoRR Matthieu Geist, Bilal Piot, Olivier Pietquin
2016	A*	`conf`	Softened Approximate Policy Iteration for Markov Games. ICML Julien Pérolat, Bilal Piot, Matthieu Geist, Bruno Scherrer, Olivier Pietquin
2015	J	`jnl`	Approximate modified policy iteration and its application to the game of Tetris. J. Mach. Learn. Res. Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon, Boris Lesner, Matthieu Geist
2015	—	`conf`	Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment. BIRS-IMLKE Deepika Singh, Erinc Merdivan, Sten Hanke, Johannes Kropf, Matthieu Geist, Andreas Holzinger
2015	—	`conf`	Imitation Learning Applied to Embodied Conversational Agents. MLIS@ICML Bilal Piot, Olivier Pietquin, Matthieu Geist
2015	A*	`conf`	Inverse Reinforcement Learning in Relational Domains. IJCAI Thibaut Munzer, Bilal Piot, Matthieu Geist, Olivier Pietquin, Manuel Lopes
2015	J	`jnl`	Recherche locale de politique dans un espace convexe. Rev. d'Intelligence Artif. Bruno Scherrer, Matthieu Geist
2015	J	`jnl`	Soft-max boosting. Mach. Learn. Matthieu Geist
2014	—	`conf`	Boosted Bellman Residual Minimization Handling Expert Demonstrations. ECML/PKDD (2) Bilal Piot, Matthieu Geist, Olivier Pietquin
2014	A	`conf`	Boosted and reward-regularized classification for apprenticeship learning. AAMAS Bilal Piot, Matthieu Geist, Olivier Pietquin
2014	—	`conf`	Difference of Convex Functions Programming for Reinforcement Learning. NIPS Bilal Piot, Matthieu Geist, Olivier Pietquin
2014	J	`jnl`	Kalman Temporal Differences. CoRR Matthieu Geist, Olivier Pietquin
2014	—	`conf`	Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search. ECML/PKDD (3) Bruno Scherrer, Matthieu Geist
2014	J	`jnl`	Off-policy learning with eligibility traces: a survey. J. Mach. Learn. Res. Matthieu Geist, Bruno Scherrer
2014	A	`conf`	Predicting when to laugh with structured classification. INTERSPEECH Bilal Piot, Olivier Pietquin, Matthieu Geist
2013	J	`jnl`	A C++ template-based reinforcement learning library: fitting the code to the mathematics. J. Mach. Learn. Res. Hervé Frezza-Buet, Matthieu Geist
2013	—	`conf`	A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning. ECML/PKDD (1) Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin
2013	J	`jnl`	Algorithmic Survey of Parametric Value Function Approximation. IEEE Trans. Neural Networks Learn. Syst. Matthieu Geist, Olivier Pietquin
2013	J	`jnl`	Classification structurée pour l'apprentissage par renforcement inverse. Rev. d'Intelligence Artif. Edouard Klein, Bilal Piot, Matthieu Geist, Olivier Pietquin
2013	A	`conf`	Laugh-aware virtual agent and its impact on user amusement. AAMAS Radoslaw Niewiadomski, Jennifer Hofmann, Jérôme Urbain, Tracey Platt, Johannes Wagner, Bilal Piot, Hüseyin Çakmak, Sathish Pammi, Tobias Baur, Stéphane Dupont, Matthieu Geist, Florian Lingenfelser, Gary McKeown, Olivier Pietquin, Willibald Ruch
2013	—	`conf`	Learning from Demonstrations: Is It Worth Estimating a Reward Function? ECML/PKDD (1) Bilal Piot, Matthieu Geist, Olivier Pietquin
2013	—	`conf`	Model-free POMDP optimisation of tutoring systems with echo-state networks. SIGDIAL Conference Lucie Daubigney, Matthieu Geist, Olivier Pietquin
2013	J	`jnl`	Off-policy Learning with Eligibility Traces: A Survey CoRR Matthieu Geist, Bruno Scherrer
2013	A	`conf`	Particle swarm optimisation of spoken dialogue system strategies. INTERSPEECH Lucie Daubigney, Matthieu Geist, Olivier Pietquin
2013	J	`jnl`	Policy Search: Any Local Optimum Enjoys a Global Performance Guarantee. CoRR Bruno Scherrer, Matthieu Geist
2013	Misc	`conf`	Random projections: A remedy for overfitting issues in time series prediction with echo state networks. ICASSP Lucie Daubigney, Matthieu Geist, Olivier Pietquin
2012	J	`jnl`	A Comprehensive Reinforcement Learning Framework for Dialogue Management Optimization. IEEE J. Sel. Top. Signal Process. Lucie Daubigney, Matthieu Geist, Senthilkumar Chandramohan, Olivier Pietquin
2012	A*	`conf`	A Dantzig Selector Approach to Temporal Difference Learning. ICML Matthieu Geist, Bruno Scherrer, Alessandro Lazaric, Mohammad Ghavamzadeh
2012	J	`jnl`	Approximate Modified Policy Iteration CoRR Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
2012	A*	`conf`	Approximate Modified Policy Iteration. ICML Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
2012	—	`conf`	Behavior Specific User Simulation in Spoken Dialogue Systems. ITG Conference on Speech Communication Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin
2012	Misc	`conf`	Clustering behaviors of Spoken Dialogue Systems users. ICASSP Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin
2012	—	`conf`	Co-adaptation in Spoken Dialogue Systems. IWSDS Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin
2012	—	`conf`	Inverse Reinforcement Learning through Structured Classification. NIPS Edouard Klein, Matthieu Geist, Bilal Piot, Olivier Pietquin
2012	—	`conf`	Monte-Carlo Swarm Policy Search. ICAISC (SIDE-EC) Jérémy Fix, Matthieu Geist
2012	Misc	`conf`	Off-policy learning in large-scale POMDP-based dialogue systems. ICASSP Lucie Daubigney, Matthieu Geist, Olivier Pietquin
2012	—	`conf`	Optimisation d'un tuteur intelligent à partir d'un jeu de données fixé (Optimization of a tutoring system from a fixed set of data) [in French]. JEP-TALN-RECITAL 2012 Lucie Daubigney, Matthieu Geist, Olivier Pietquin
2011	—	`conf`	A Non-parametric Approach to Approximate Dynamic Programming. ICMLA (1) Hadrien Glaude, Fadi Akrimi, Matthieu Geist, Olivier Pietquin
2011	—	`conf`	Batch, Off-Policy and Model-Free Apprenticeship Learning. EWRL Edouard Klein, Matthieu Geist, Olivier Pietquin
2011	—	`conf`	Dynamic neural field optimization using the unscented Kalman filter. CCMB Jérémy Fix, Matthieu Geist, Olivier Pietquin, Hervé Frezza-Buet
2011	—	`conf`	Managing Uncertainty within KTD. Active Learning and Experimental Design @ AISTATS Matthieu Geist, Olivier Pietquin
2011	—	`conf`	Optimization of a tutoring system from a fixed set of data. SLaTE Olivier Pietquin, Lucie Daubigney, Matthieu Geist
2011	—	`conf`	Parametric value function approximation: A unified view. ADPRL Matthieu Geist, Olivier Pietquin
2011	C	`conf`	Performance evaluation for particle filters. FUSION Remi Chou, Yvo Boers, Martin Podt, Matthieu Geist
2011	—	`conf`	Recursive Least-Squares Learning with Eligibility Traces. EWRL Bruno Scherrer, Matthieu Geist
2011	A*	`conf`	Sample Efficient On-Line Learning of Optimal Dialogue Policies with Kalman Temporal Differences. IJCAI Olivier Pietquin, Matthieu Geist, Senthilkumar Chandramohan
2011	J	`jnl`	Sample-efficient batch reinforcement learning for dialogue management optimization. ACM Trans. Speech Lang. Process. Olivier Pietquin, Matthieu Geist, Senthilkumar Chandramohan, Hervé Frezza-Buet
2011	A	`conf`	Uncertainty Management for On-Line Optimisation of a POMDP-Based Large-Scale Spoken Dialogue System. INTERSPEECH Lucie Daubigney, Milica Gasic, Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin, Steve J. Young
2011	A	`conf`	User Simulation in Dialogue Systems Using Inverse Reinforcement Learning. INTERSPEECH Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin
2011	—	`conf`	ℓ1-Penalized Projected Bellman Residual. EWRL Matthieu Geist, Bruno Scherrer
2010	J	`jnl`	Différences temporelles de Kalman. Cas déterministe. Rev. d'Intelligence Artif. Matthieu Geist, Olivier Pietquin, Gabriel Fricout
2010	—	`conf`	Eligibility traces through colored noises. ICUMT Matthieu Geist, Olivier Pietquin
2010	J	`jnl`	Kalman Temporal Differences. J. Artif. Intell. Res. Matthieu Geist, Olivier Pietquin
2010	A	`conf`	Optimizing spoken dialogue management with fitted value iteration. INTERSPEECH Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin
2010	B	`conf`	Revisiting Natural Actor-Critics with Value Function Approximation. MDAI Matthieu Geist, Olivier Pietquin
2010	—	`conf`	Sparse Approximate Dynamic Programming for Dialog Management. SIGDIAL Conference Senthilkumar Chandramohan, Matthieu Geist, Olivier Pietquin
2010	—	`conf`	Statistically linearized least-squares temporal differences. ICUMT Matthieu Geist, Olivier Pietquin
2009	—	`conf`	Kalman Temporal Differences: The deterministic case. ADPRL Matthieu Geist, Olivier Pietquin, Gabriel Fricout
2009	B	`conf`	Kernelizing Vector Quantization Algorithms. ESANN Matthieu Geist, Olivier Pietquin, Gabriel Fricout
2009	—	`conf`	Tracking in Reinforcement Learning. ICONIP (1) Matthieu Geist, Olivier Pietquin, Gabriel Fricout
2008	—	`conf`	Bayesian Reward Filtering. EWRL Matthieu Geist, Olivier Pietquin, Gabriel Fricout