Olivier Pietquin

273 papers A* 40A 33B 10C 2Misc 13Journal 111Unranked 60

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
2025	Misc	`conf`	Biodenoising: Animal Vocalization Denoising without Access to Clean Data. ICASSP Marius Miron, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin, Felix Effenberger, Maddie Cusimano
2025	J	`jnl`	Crossing the Species Divide: Transfer Learning from Speech to Animal Sounds. CoRR Jules Cauzinille, Marius Miron, Olivier Pietquin, Masato Hagiwara, Ricard Marxer, Arnaud Rey, Benoît Favre
2025	A*	`conf`	NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics. ICLR David Robinson, Marius Miron, Masato Hagiwara, Olivier Pietquin
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`	Robust detection of overlapping bioacoustic sound events. CoRR Louis Mahon, Benjamin Hoffman, Logan S. James, Maddie Cusimano, Masato Hagiwara, Sarah C. Woolley, Olivier Pietquin
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`	Synthetic data enables context-aware bioacoustic sound event detection. CoRR Benjamin Hoffman, David Robinson, Marius Miron, Vittorio Baglione, Daniela Canestrari, Damian Elias, Eva Trapote, Olivier Pietquin
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`	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`	Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs. CoRR Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker
2024	—	`conf`	Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs. ACL (1) Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker
2024	J	`jnl`	Biodenoising: animal vocalization denoising without access to clean data. CoRR Marius Miron, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin, Felix Effenberger, Maddie Cusimano
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	—	`conf`	Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning. ACL (Findings) Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024	J	`jnl`	Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement Learning. CoRR Mathieu Rita, Florian Strub, Rahma Chaabouni, Paul Michel, Emmanuel Dupoux, Olivier Pietquin
2024	J	`jnl`	Language Evolution with Deep Learning. CoRR Mathieu Rita, Paul Michel, Rahma Chaabouni, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
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	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	J	`jnl`	NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics. CoRR David Robinson, Marius Miron, Masato Hagiwara, Olivier Pietquin
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`	Self-Improving Robust Preference Optimization. CoRR Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar
2023	J	`jnl`	AudioLM: A Language Modeling Approach to Audio Generation. IEEE ACM Trans. Audio Speech Lang. Process. Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Dominik Roblek, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour
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`	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	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`	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	J	`jnl`	SingSong: Generating musical accompaniments from singing. CoRR Chris Donahue, Antoine Caillon, Adam Roberts, Ethan Manilow, Philippe Esling, Andrea Agostinelli, Mauro Verzetti, Ian Simon, Olivier Pietquin, Neil Zeghidour, Jesse H. Engel
2023	J	`jnl`	Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. CoRR Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matthew Sharifi, Marco Tagliasacchi, Neil Zeghidour
2023	J	`jnl`	Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. Trans. Assoc. Comput. Linguistics Eugene Kharitonov, Damien Vincent, Zalán Borsos, Raphaël Marinier, Sertan Girgin, Olivier Pietquin, Matt Sharifi, Marco Tagliasacchi, Neil Zeghidour
2022	J	`jnl`	AudioLM: a Language Modeling Approach to Audio Generation. CoRR Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour
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`	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`	Emergent Communication: Generalization and Overfitting in Lewis Games. NeurIPS Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022	J	`jnl`	Emergent Communication: Generalization and Overfitting in Lewis Games. CoRR Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
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`	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 Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. AAMAS Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
2022	J	`jnl`	Learning Mean Field Games: A Survey. CoRR Mathieu Laurière, Sarah Perrin, Matthieu Geist, Olivier Pietquin
2022	—	`conf`	Learning Natural Language Generation with Truncated Reinforcement Learning. NAACL-HLT Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, 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	A*	`conf`	On the role of population heterogeneity in emergent communication. ICLR Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
2022	J	`jnl`	On the role of population heterogeneity in emergent communication. CoRR Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
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
2022	A	`conf`	Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. AAMAS Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Eric Goubault, Romuald Elie
2022	J	`jnl`	vec2text with Round-Trip Translations. CoRR Geoffrey Cideron, Sertan Girgin, Anton Raichuk, Olivier Pietquin, Olivier Bachem, Léonard Hussenot
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	A*	`conf`	Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. IJCAI Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2021	J	`jnl`	Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. CoRR Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
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	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`	Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. CoRR Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
2021	Misc	`conf`	Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering. ICASSP Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour
2021	J	`jnl`	Learning Natural Language Generation from Scratch. CoRR Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
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`	RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning. CoRR Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphaël Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev
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	J	`jnl`	Solving N-player dynamic routing games with congestion: a mean field approach. CoRR Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Éric Goubault, Romuald Elie
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`	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	B	`conf`	"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. IJCNN Mathieu Seurin, Philippe Preux, Olivier Pietquin
2020	J	`jnl`	A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning. CoRR Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020	A	`conf`	A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. INTERSPEECH Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020	A	`conf`	CopyCAT: : Taking Control of Neural Policies with Constant Attacks. AAMAS Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2020	A*	`conf`	Countering Language Drift with Seeded Iterated Learning. ICML Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin
2020	J	`jnl`	Countering Language Drift with Seeded Iterated Learning. CoRR Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
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	C	`conf`	Foolproof Cooperative Learning. ACML Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin
2020	—	`conf`	HIGhER: Improving instruction following with Hindsight Generation for Experience Replay. SSCI Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2020	J	`jnl`	Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering. CoRR Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour
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`	Momentum in Reinforcement Learning. AISTATS Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
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	B	`ed.`	Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGdial 2020, 1st virtual meeting, July 1-3, 2020 SIGdial Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
2020	—	`ch.`	Reinforcement Learning. A Guided Tour of Artificial Intelligence Research (1) (I) Olivier Buffet, Olivier Pietquin, Paul Weng
2020	J	`jnl`	Reinforcement Learning. CoRR Olivier Buffet, Olivier Pietquin, Paul Weng
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	—	`conf`	Supervised Seeded Iterated Learning for Interactive Language Learning. EMNLP (1) Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
2020	J	`jnl`	Supervised Seeded Iterated Learning for Interactive Language Learning. CoRR Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville
2020	J	`jnl`	The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. CoRR Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin
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	J	`jnl`	"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. CoRR Mathieu Seurin, Philippe Preux, Olivier Pietquin
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	A*	`conf`	Budgeted Reinforcement Learning in Continuous State Space. NeurIPS Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, 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	J	`jnl`	Foolproof Cooperative Learning. CoRR Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin
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`	Momentum in Reinforcement Learning. CoRR Nino Vieillard, Bruno Scherrer, Olivier Pietquin, Matthieu Geist
2019	A	`conf`	Observational Learning by Reinforcement Learning. AAMAS Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin
2019	J	`jnl`	On Connections between Constrained Optimization and Reinforcement Learning. CoRR Nino Vieillard, Olivier Pietquin, Matthieu Geist
2019	J	`jnl`	Scaling up budgeted reinforcement learning. CoRR Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin
2019	J	`jnl`	Self-Educated Language Agent With Hindsight Experience Replay For Instruction Following. CoRR Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2019	—	`conf`	Self-Educated Language Agent with Hindsight Experience Replay for Instruction Following. ViGIL@NeurIPS Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin
2019	J	`jnl`	Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations. CoRR Léonard Hussenot, Matthieu Geist, Olivier Pietquin
2018	A	`conf`	Actor-Critic Fictitious Play in Simultaneous Move Multistage Games. AISTATS Julien Pérolat, Bilal Piot, Olivier Pietquin
2018	A*	`conf`	Deep Q-learning From Demonstrations. AAAI Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys
2018	—	`ch.`	Deep learning for multisensorial and multimodal interaction. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) Gil Keren, Amr El-Desoky Mousa, Olivier Pietquin, Stefanos Zafeiriou, Björn W. Schuller
2018	Misc	`conf`	End-to-End Automatic Speech Translation of Audiobooks. ICASSP Alexandre Berard, Laurent Besacier, Ali Can Kocabiyikoglu, Olivier Pietquin
2018	J	`jnl`	End-to-End Automatic Speech Translation of Audiobooks. CoRR Alexandre Bérard, Laurent Besacier, Ali Can Kocabiyikoglu, Olivier Pietquin
2018	—	`conf`	Noisy Networks For Exploration. ICLR (Poster) Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
2018	J	`jnl`	Observe and Look Further: Achieving Consistent Performance on Atari. CoRR Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Vecerík, Matteo Hessel, Rémi Munos, Olivier Pietquin
2018	J	`jnl`	Playing the Game of Universal Adversarial Perturbations. CoRR Julien Pérolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin
2018	A	`conf`	Training Dialogue Systems With Human Advice. AAMAS Merwan Barlier, Romain Laroche, Olivier Pietquin
2018	—	`conf`	Visual Reasoning with Multi-hop Feature Modulation. ECCV (5) Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2018	J	`jnl`	Visual Reasoning with Multi-hop Feature Modulation. CoRR Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
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	A*	`conf`	End-to-end optimization of goal-driven and visually grounded dialogue systems. IJCAI Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	J	`jnl`	End-to-end optimization of goal-driven and visually grounded dialogue systems. CoRR Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron C. Courville, Olivier Pietquin
2017	A*	`conf`	GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. CVPR Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2017	—	`conf`	Is the Bellman residual a bad proxy? NIPS Matthieu Geist, Bilal Piot, Olivier Pietquin
2017	—	`conf`	LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task. WMT Alexandre Berard, Laurent Besacier, Olivier Pietquin
2017	J	`jnl`	LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task. CoRR Alexandre Berard, Olivier Pietquin, Laurent Besacier
2017	A	`conf`	Learning Nash Equilibrium for General-Sum Markov Games from Batch Data. AISTATS Julien Pérolat, Florian Strub, Bilal Piot, Olivier Pietquin
2017	J	`jnl`	Learning from Demonstrations for Real World Reinforcement Learning. CoRR Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Andrew Sendonaris, Gabriel Dulac-Arnold, Ian Osband, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys
2017	J	`jnl`	Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards. CoRR Matej Vecerík, Todd Hester, Jonathan Scholz, Fumin Wang, Olivier Pietquin, Bilal Piot, Nicolas Heess, Thomas Rothörl, Thomas Lampe, Martin A. Riedmiller
2017	—	`conf`	Modulating early visual processing by language. NIPS Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017	J	`jnl`	Modulating early visual processing by language. CoRR Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville
2017	J	`jnl`	Noisy Networks for Exploration. CoRR Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
2017	J	`jnl`	Observational Learning by Reinforcement Learning. CoRR Diana Borsa, Bilal Piot, Rémi Munos, Olivier Pietquin
2016	A	`conf`	A Stochastic Model for Computer-Aided Human-Human Dialogue. INTERSPEECH Merwan Barlier, Romain Laroche, Olivier Pietquin
2016	—	`conf`	Compact and Interpretable Dialogue State Representation with Genetic Sparse Distributed Memory. IWSDS Layla El Asri, Romain Laroche, Olivier Pietquin
2016	J	`jnl`	Difference of Convex Functions Programming Applied to Control with Expert Data. CoRR Bilal Piot, Matthieu Geist, Olivier Pietquin
2016	J	`jnl`	GuessWhat?! Visual object discovery through multi-modal dialogue. CoRR Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2016	—	`ch.`	Laughter Research: A Review of the ILHAIRE Project. Toward Robotic Socially Believable Behaving Systems (I) Stéphane Dupont, Hüseyin Çakmak, William Curran, Thierry Dutoit, Jennifer Hofmann, Gary McKeown, Olivier Pietquin, Tracey Platt, Willibald Ruch, Jérôme Urbain
2016	J	`jnl`	Learning Nash Equilibrium for General-Sum Markov Games from Batch Data. CoRR Julien Pérolat, Florian Strub, Bilal Piot, Olivier Pietquin
2016	—	`conf`	Learning dialogue dynamics with the method of moments. SLT Merwan Barlier, Romain Laroche, Olivier Pietquin
2016	J	`jnl`	Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation. CoRR Alexandre Berard, Olivier Pietquin, Christophe Servan, Laurent Besacier
2016	B	`conf`	MultiVec: a Multilingual and Multilevel Representation Learning Toolkit for NLP. LREC Alexandre Berard, Christophe Servan, Olivier Pietquin, Laurent Besacier
2016	A	`conf`	On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games. AISTATS Julien Pérolat, Bilal Piot, Bruno Scherrer, Olivier Pietquin
2016	A*	`conf`	PAC learning of Probabilistic Automaton based on the Method of Moments. ICML Hadrien Glaude, 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	A*	`conf`	Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. ICML Julien Pérolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin
2015	—	`conf`	Bayesian Credible Intervals for Online and Active Learning of Classification Trees. SSCI Timothé Collet, Olivier Pietquin
2015	—	`conf`	Human-Machine Dialogue as a Stochastic Game. SIGDIAL Conference Merwan Barlier, Julien Pérolat, Romain Laroche, Olivier Pietquin
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	—	`conf`	Learning of scanning strategies for electronic support using predictive state representations. MLSP Hadrien Glaude, Cyrille Enderli, Jean-François Grandin, Olivier Pietquin
2015	—	`conf`	Non-negative Spectral Learning for Linear Sequential Systems. ICONIP (2) Hadrien Glaude, Cyrille Enderli, Olivier Pietquin
2015	—	`conf`	Optimism in Active Learning with Gaussian Processes. ICONIP (2) Timothé Collet, Olivier Pietquin
2015	J	`jnl`	Optimism in Active Learning. Comput. Intell. Neurosci. Timothé Collet, Olivier Pietquin
2015	—	`conf`	Proceedings of the 4th Workshop on Machine Learning for Interactive Systems (MLIS-2015). MLIS@ICML Heriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Martijn van Otterlo, Olivier Pietquin
2015	C	`conf`	Spectral learning with non negative probabilities for finite state automaton. ASRU Hadrien Glaude, Cyrille Enderli, Olivier Pietquin
2014	—	`conf`	Active learning for classification: An optimistic approach. ADPRL Timothé Collet, Olivier Pietquin
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	B	`conf`	DINASTI: Dialogues with a Negotiating Appointment Setting Interface. LREC Layla El Asri, Romain Laroche, 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	B	`conf`	NASTIA: Negotiating Appointment Setting Interface. LREC Layla El Asri, Rémi Lemonnier, Romain Laroche, Olivier Pietquin, Hatim Khouzaimi
2014	Misc	`conf`	Ordinal regression for interaction quality prediction. ICASSP Layla El Asri, Hatim Khouzaimi, Romain Laroche, Olivier Pietquin
2014	A	`conf`	Predicting when to laugh with structured classification. INTERSPEECH Bilal Piot, Olivier Pietquin, Matthieu Geist
2014	—	`conf`	Subspace identification for predictive state representation by nuclear norm minimization. ADPRL Hadrien Glaude, Olivier Pietquin, Cyrille Enderli
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`	A survey on metrics for the evaluation of user simulations. Knowl. Eng. Rev. Olivier Pietquin, Helen F. Hastie
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	—	`conf`	Inverse reinforcement learning for interactive systems. MLIS@IJCAI Olivier Pietquin
2013	—	`conf`	Laugh When You're Winning. eNTERFACE Maurizio Mancini, Laurent Ach, Emeline Bantegnie, Tobias Baur, Nadia Berthouze, Debajyoti Datta, Yu Ding, Stéphane Dupont, Harry J. Griffin, Florian Lingenfelser, Radoslaw Niewiadomski, Catherine Pelachaud, Olivier Pietquin, Bilal Piot, Jérôme Urbain, Gualtiero Volpe, Johannes Wagner
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	A	`conf`	Particle swarm optimisation of spoken dialogue system strategies. INTERSPEECH Lucie Daubigney, Matthieu Geist, Olivier Pietquin
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
2013	—	`conf`	Reward Shaping for Statistical Optimisation of Dialogue Management. SLSP Layla El Asri, Romain Laroche, 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 Reinforcement Learning Approach to Optimize the longitudinal Behavior of a Partial Autonomous Driving Assistance System. ECAI Olivier Pietquin, Fabio Tango
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	J	`jnl`	Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile Interface. IEEE J. Sel. Top. Signal Process. Jason D. Williams, Kai Yu, Brahim Chaib-draa, Oliver Lemon, Roberto Pieraccini, Olivier Pietquin, Pascal Poupart, Steve J. Young
2012	—	`conf`	Inverse Reinforcement Learning through Structured Classification. NIPS Edouard Klein, Matthieu Geist, Bilal Piot, Olivier Pietquin
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
2012	—	`conf`	Reward Function Learning for Dialogue Management. STAIRS Layla El Asri, Romain Laroche, Olivier Pietquin
2012	—	`conf`	Statistical User Simulation for Spoken Dialogue Systems: What for, Which Data, Which Future? SDCTD@NAACL-HLT Olivier Pietquin
2011	—	`conf`	A Non-parametric Approach to Approximate Dynamic Programming. ICMLA (1) Hadrien Glaude, Fadi Akrimi, Matthieu Geist, Olivier Pietquin
2011	—	`conf`	Automation Effects on Driver's Behaviour When Integrating a PADAS and a Distraction Classifier. HCI (17) Fabio Tango, Luca Minin, Raghav Aras, Olivier Pietquin
2011	—	`conf`	Batch reinforcement learning for optimizing longitudinal driving assistance strategies. CIVTS Olivier Pietquin, Fabio Tango, Raghav Aras
2011	—	`conf`	Batch, Off-Policy and Model-Free Apprenticeship Learning. EWRL Edouard Klein, Matthieu Geist, Olivier Pietquin
2011	—	`book`	De l'Apprentissage Statistique pour le Contrôle Optimal et le Traitement du Signal. Olivier Pietquin
2011	—	`conf`	Dynamic neural field optimization using the unscented Kalman filter. CCMB Jérémy Fix, Matthieu Geist, Olivier Pietquin, Hervé Frezza-Buet
2011	J	`jnl`	Functional Segmentation of Renal DCE-MRI Sequences Using Vector Quantization Algorithms. Neural Process. Lett. Beatrice Chevaillier, Damien Mandry, Jean-Luc Collette, Michel Claudon, Marie-Agnès Galloy, Olivier Pietquin
2011	J	`jnl`	Introduction to special issue on machine learning for adaptivity in spoken dialogue systems. ACM Trans. Speech Lang. Process. Oliver Lemon, Olivier Pietquin
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	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	B	`conf`	Single-trial P300 detection with Kalman filtering and SVMs. ESANN Lucie Daubigney, Olivier Pietquin
2011	B	`conf`	Training a BN-based user model for dialogue simulation with missing data. IJCNLP Stéphane Rossignol, Olivier Pietquin, Michel Ianotto
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
2010	Misc	`conf`	Bayesian framework for artifact reduction on ECG IN MRI. ICASSP Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger
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	J	`jnl`	Nonlinear Bayesian Filtering for Denoising of Electrocardiograms Acquired in a Magnetic Resonance Environment. IEEE Trans. Biomed. Eng. Julien Oster, Olivier Pietquin, Michel Kraemer, Jacques Felblinger
2010	—	`conf`	Objective assessment of renal DCE-MRI image segmentation. EUSIPCO Beatrice Chevaillier, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin
2010	B	`conf`	Online speaker diarization with a size-monitored growing neural gas algorithm. ESANN Jean-Louis Gutzwiller, Hervé Frezza-Buet, 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`	Simulation of the Grounding Process in Spoken Dialog Systems with Bayesian Networks. IWSDS Stéphane Rossignol, Olivier Pietquin, Michel Ianotto
2010	A	`conf`	Single-speaker/multi-speaker co-channel speech classification. INTERSPEECH Stéphane Rossignol, 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
2010	—	`conf`	User and Noise Adaptive Dialogue Management Using Hybrid System Actions. IWSDS Senthilkumar Chandramohan, Olivier Pietquin
2009	Misc	`conf`	A specific QRS detector for electrocardiography during MRI: Using wavelets and local regularity characterization. ICASSP Julien Oster, Olivier Pietquin, Roger Abächerli, Michel Kraemer, Jacques Felblinger
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	Misc	`conf`	Adaptive RR prediction for cardiac MRI. ICASSP Julien Oster, Olivier Pietquin, Gilles Bosser
2008	—	`conf`	Bayesian Reward Filtering. EWRL Matthieu Geist, Olivier Pietquin, Gabriel Fricout
2008	—	`conf`	Functional semi-automated segmentation of renal DCE-MRI sequences using a Growing Neural Gas algorithm. EUSIPCO Beatrice Chevaillier, Damien Mandry, Yannick Ponvianne, Jean-Luc Collette, Michel Claudon, Olivier Pietquin
2008	Misc	`conf`	Functional semi-automated segmentation of renal DCE-MRI sequences. ICASSP Beatrice Chevaillier, Yannick Ponvianne, Jean-Luc Collette, Damien Mandry, Michel Claudon, Olivier Pietquin
2007	—	`conf`	Learning to Ground in Spoken Dialogue Systems. ICASSP (4) Olivier Pietquin
2007	A	`conf`	Machine learning for spoken dialogue systems. INTERSPEECH Oliver Lemon, Olivier Pietquin
2006	J	`jnl`	A probabilistic framework for dialog simulation and optimal strategy learning. IEEE Trans. Speech Audio Process. Olivier Pietquin, Thierry Dutoit
2006	A	`conf`	Consistent Goal-Directed User Model for Realisitc Man-Machine Task-Oriented Spoken Dialogue Simulation. ICME Olivier Pietquin
2006	—	`conf`	Dynamic Bayesian Networks for NLU Simulation with Applications to Dialog Optimal Strategy Learning. ICASSP (1) Olivier Pietquin, Thierry Dutoit
2006	Misc	`conf`	Machine Learning for Spoken Dialogue Management: An Experiment with Speech-Based Database Querying. AIMSA Olivier Pietquin
2005	A	`conf`	A Probabilistic Description of Man-Machine Spoken Communication. ICME Olivier Pietquin
2005	A	`conf`	Comparing ASR modeling methods for spoken dialogue simulation and optimal strategy learning. INTERSPEECH Olivier Pietquin, Richard Beaufort
2005	—	`conf`	Réseau bayesien pour un modèle d'utilisateur et un module de compréhension pour l'optimisation des systèmes de dialogues. TALN (Articles courts) Olivier Pietquin
2004	—	`conf`	Une description probabiliste de la communication parlée entre homme et machine. IHM Olivier Pietquin
2003	A	`conf`	Aided design of finite-state dialogue management systems. ICME Olivier Pietquin, Thierry Dutoit
2002	Misc	`conf`	ASR system modeling for automatic evaluation and optimization of dialogue systems. ICASSP Olivier Pietquin, Steve Renals