Optimal lifetime consumption and investment under a drawdown constraint. - Romuald Elie; Nizar Touzi (Finance Stochastics, 2008)

Stochastic Target Problems with Controlled Loss. - Bruno Bouchard 002; Romuald Elie; Nizar Touzi (SIAM J. Control. Optim., 2009)

Optimal Control under Stochastic Target Constraints. - Bruno Bouchard 002; Romuald Elie; Cyril Imbert (SIAM J. Control. Optim., 2010)

When terminal facelift enforces delta constraints. - Jean-François Chassagneux; Romuald Elie; Idris Kharroubi (Finance Stochastics, 2015)

Approximate hedging for nonlinear transaction costs on the volume of traded assets. - Romuald Elie; Emmanuel Lépinette (Finance Stochastics, 2015)

On a Class of Path-Dependent Singular Stochastic Control Problems. - Romuald Elie; Ludovic Moreau; Dylan Possamaï (SIAM J. Control. Optim., 2018)

Approximate Fictitious Play for Mean Field Games. - Romuald Elie; Julien Pérolat; Mathieu Laurière; Matthieu Geist; Olivier Pietquin (CoRR, 2019)

A Tale of a Principal and Many, Many Agents. - Romuald Elie; Thibaut Mastrolia; Dylan Possamaï (Math. Oper. Res., 2019)

Contracting Theory with Competitive Interacting Agents. - Romuald Elie; Dylan Possamaï (SIAM J. Control. Optim., 2019)

On the Convergence of Model Free Learning in Mean Field Games. - Romuald Elie; Julien Pérolat; Mathieu Laurière; Matthieu Geist; Olivier Pietquin (AAAI, 2020)

Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications. - Sarah Perrin; Julien Pérolat; Mathieu Laurière; Matthieu Geist; Romuald Elie; Olivier Pietquin (NeurIPS, 2020)

Reinforcement Learning in Economics and Finance. - Arthur Charpentier; Romuald Elie; Carl Remlinger (CoRR, 2020)

COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. - Arthur Charpentier; Romuald Elie; Mathieu Laurière; Viet Chi Tran (CoRR, 2020)

An Adverse Selection Approach to Power Pricing. - Clémence Alasseur; Ivar Ekeland; Romuald Elie; Nicolás Hernández-Santibánez; Dylan Possamaï (SIAM J. Control. Optim., 2020)

Mean Field Games Flock! The Reinforcement Learning Way. - Sarah Perrin; Mathieu Laurière; Julien Pérolat; Matthieu Geist; Romuald Élie; Olivier Pietquin (IJCAI, 2021)

Conditional Versus Adversarial Euler-based Generators For Time Series. - Carl Remlinger; Joseph Mikael; Romuald Elie (CoRR, 2021)

Scaling up Mean Field Games with Online Mirror Descent. - Julien Pérolat; Sarah Perrin; Romuald Elie; Mathieu Laurière; Georgios Piliouras; Matthieu Geist; Karl Tuyls; Olivier Pietquin (CoRR, 2021)

Time-series Imputation of Temporally-occluded Multiagent Trajectories. - Shayegan Omidshafiei; Daniel Hennes; Marta Garnelo; Eugene Tarassov; Zhe Wang 055; Romuald Elie; Jerome T. Connor; Paul Muller; Ian Graham; William Spearman; Karl Tuyls (CoRR, 2021)

Evolutionary Dynamics and Φ-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (CoRR, 2021)

An overview of active learning methods for insurance with fairness appreciation. - Romuald Elie; Caroline Hillairet; François Hu; Marc Juillard (CoRR, 2021)

Game Plan: What AI can do for Football, and What Football can do for AI. - Karl Tuyls; Shayegan Omidshafiei; Paul Muller; Zhe Wang 055; Jerome T. Connor; Daniel Hennes; Ian Graham; William Spearman; Tim Waskett; Dafydd Steele; Pauline Luc; Adrià Recasens; et al. (J. Artif. Intell. Res., 2021)

Generalization in Mean Field Games by Learning Master Policies. - Sarah Perrin; Mathieu Laurière; Julien Pérolat; Romuald Élie; Matthieu Geist; Olivier Pietquin (AAAI, 2022)

Conditional Loss and Deep Euler Scheme for Time Series Generation. - Carl Remlinger; Joseph Mikael; Romuald Elie (AAAI, 2022)

Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach. - Theophile Cabannes; Mathieu Laurière; Julien Pérolat; Raphaël Marinier; Sertan Girgin; Sarah Perrin; Olivier Pietquin; Alexandre M. Bayen; Eric Goubault; Romuald Elie (AAMAS, 2022)

Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint. - Matthieu Geist; Julien Pérolat; Mathieu Laurière; Romuald Elie; Sarah Perrin; Olivier Bachem; Rémi Munos; Olivier Pietquin (AAMAS, 2022)

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. - Paul Muller; Mark Rowland 001; Romuald Elie; Georgios Piliouras; Julien Pérolat; Mathieu Laurière; Raphaël Marinier; Olivier Pietquin; Karl Tuyls (AAMAS, 2022)

Scaling Mean Field Games by Online Mirror Descent. - Julien Pérolat; Sarah Perrin; Romuald Elie; Mathieu Laurière; Georgios Piliouras; Matthieu Geist; Karl Tuyls; Olivier Pietquin (AAMAS, 2022)

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. - Mathieu Laurière; Sarah Perrin; Sertan Girgin; Paul Muller; Ayush Jain; Theophile Cabannes; Georgios Piliouras; Julien Pérolat; Romuald Elie; Olivier Pietquin; Matthieu Geist (ICML, 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Learning Correlated Equilibria in Mean-Field Games. - Paul Muller; Romuald Elie; Mark Rowland 001; Mathieu Laurière; Julien Pérolat; Sarah Perrin; Matthieu Geist; Georgios Piliouras; Olivier Pietquin; Karl Tuyls (CoRR, 2022)

Evolutionary Dynamics and Phi-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (J. Artif. Intell. Res., 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)

Generative Adversarial Equilibrium Solvers. - Denizalp Goktas; David C. Parkes; Ian Gemp; Luke Marris; Georgios Piliouras; Romuald Elie; Guy Lever; Andrea Tacchetti (ICLR, 2024)

Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. - Raphael Koster; Miruna Pîslar; Andrea Tacchetti; Jan Balaguer; Leqi Liu; Romuald Elie; Oliver P. Hauser; Karl Tuyls; Matt M. Botvinick; Christopher Summerfield (CoRR, 2024)

Fairness guarantees in multi-class classification with demographic parity. - Christophe Denis; Romuald Elie; Mohamed Hebiri; François Hu (J. Mach. Learn. Res., 2024)

Diversity-Rewarded CFG Distillation. - Geoffrey Cideron; Andrea Agostinelli; Johan Ferret; Sertan Girgin; Romuald Elie; Olivier Bachem; Sarah Perrin; Alexandre Ramé (ICLR, 2025)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)