Romuald Elie

52 papers A* 6A 5Journal 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clustering in Deep Stochastic Transformers.
CoRR
Lev Fedorov, Michael E. Sander, Romuald Elie, Pierre Marion, Mathieu Laurière
2026 J jnl
Dimension-free error estimate for diffusion model and optimal scheduling.
Trans. Mach. Learn. Res.
Valentin De Bortoli, Romuald Elie, Anna Kazeykina, Zhenjie Ren, Jiacheng Zhang
2026 J jnl
Fair regression under localized demographic parity constraints.
CoRR
Arthur Charpentier, Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu
2025 J jnl
Control Variate Score Matching for Diffusion Models.
CoRR
Khaled Kahouli, Romuald Elie, Klaus-Robert Müller, Quentin Berthet, Oliver T. Unke, Arnaud Doucet
2025 J jnl
Dimension-free error estimate for diffusion model and optimal scheduling.
CoRR
Valentin De Bortoli, Romuald Elie, Anna Kazeykina, Zhenjie Ren, Jiacheng Zhang
2025 A* conf
Diversity-Rewarded CFG Distillation.
ICLR
Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé
2025 J jnl
Language Agents as Digital Representatives in Collective Decision-Making.
CoRR
Daniel Jarrett, Miruna Pîslar, Michiel A. Bakker, Michael Henry Tessler, Raphael Köster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti
2025 J jnl
Optimal Stopping in Latent Diffusion Models.
CoRR
Yu-Han Wu, Quentin Berthet, Gérard Biau, Claire Boyer, Romuald Elie, Pierre Marion
2024 A conf
Approximating the Core via Iterative Coalition Sampling.
AAMAS
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Approximating the Core via Iterative Coalition Sampling.
CoRR
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Diversity-Rewarded CFG Distillation.
CoRR
Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé
2024 J jnl
Fairness guarantees in multi-class classification with demographic parity.
J. Mach. Learn. Res.
Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu
2024 A* conf
Generative Adversarial Equilibrium Solvers.
ICLR
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
2024 J jnl
Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem.
CoRR
Raphael Koster, Miruna Pîslar, Andrea Tacchetti, Jan Balaguer, Leqi Liu, Romuald Elie, Oliver P. Hauser, Karl Tuyls, Matt M. Botvinick, Christopher Summerfield
2023 J jnl
Generative Adversarial Equilibrium Solvers.
CoRR
Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
2023 J jnl
TacticAI: an AI assistant for football tactics.
CoRR
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
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
Conditional Loss and Deep Euler Scheme for Time Series Generation.
AAAI
Carl Remlinger, Joseph Mikael, Romuald Elie
2022 J jnl
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun.
Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022 J jnl
Evolutionary Dynamics and Phi-Regret Minimization in Games.
J. Artif. Intell. Res.
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
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
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
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 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
2021 J jnl
An overview of active learning methods for insurance with fairness appreciation.
CoRR
Romuald Elie, Caroline Hillairet, François Hu, Marc Juillard
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
Conditional Versus Adversarial Euler-based Generators For Time Series.
CoRR
Carl Remlinger, Joseph Mikael, Romuald Elie
2021 J jnl
Evolutionary Dynamics and Φ-Regret Minimization in Games.
CoRR
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
2021 J jnl
Game Plan: What AI can do for Football, and What Football can do for AI.
J. Artif. Intell. Res.
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
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 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 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 J jnl
Time-series Imputation of Temporally-occluded Multiagent Trajectories.
CoRR
Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls
2020 J jnl
An Adverse Selection Approach to Power Pricing.
SIAM J. Control. Optim.
Clémence Alasseur, Ivar Ekeland, Romuald Elie, Nicolás Hernández-Santibánez, Dylan Possamaï
2020 J jnl
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability.
CoRR
Arthur Charpentier, Romuald Elie, Mathieu Laurière, Viet Chi Tran
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 J jnl
Game Plan: What AI can do for Football, and What Football can do for AI.
CoRR
Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
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
Reinforcement Learning in Economics and Finance.
CoRR
Arthur Charpentier, Romuald Elie, Carl Remlinger
2019 J jnl
A Tale of a Principal and Many, Many Agents.
Math. Oper. Res.
Romuald Elie, Thibaut Mastrolia, Dylan Possamaï
2019 J jnl
Approximate Fictitious Play for Mean Field Games.
CoRR
Romuald Elie, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin
2019 J jnl
Contracting Theory with Competitive Interacting Agents.
SIAM J. Control. Optim.
Romuald Elie, Dylan Possamaï
2018 J jnl
On a Class of Path-Dependent Singular Stochastic Control Problems.
SIAM J. Control. Optim.
Romuald Elie, Ludovic Moreau, Dylan Possamaï
2015 J jnl
Approximate hedging for nonlinear transaction costs on the volume of traded assets.
Finance Stochastics
Romuald Elie, Emmanuel Lépinette
2015 J jnl
When terminal facelift enforces delta constraints.
Finance Stochastics
Jean-François Chassagneux, Romuald Elie, Idris Kharroubi
2010 J jnl
Optimal Control under Stochastic Target Constraints.
SIAM J. Control. Optim.
Bruno Bouchard, Romuald Elie, Cyril Imbert
2009 J jnl
Stochastic Target Problems with Controlled Loss.
SIAM J. Control. Optim.
Bruno Bouchard, Romuald Elie, Nizar Touzi
2008 J jnl
Optimal lifetime consumption and investment under a drawdown constraint.
Finance Stochastics
Romuald Elie, Nizar Touzi