Romuald Elie

According to our database1, Romuald Elie authored at least 36 papers between 2008 and 2024.

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Bibliography

2024
Approximating the Core via Iterative Coalition Sampling.
CoRR, 2024

2023
TacticAI: an AI assistant for football tactics.
CoRR, 2023

Generative Adversarial Equilibrium Solvers.
CoRR, 2023

2022
Evolutionary Dynamics and Phi-Regret Minimization in Games.
J. Artif. Intell. Res., 2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR, 2022

Learning Correlated Equilibria in Mean-Field Games.
CoRR, 2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun., 2022

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.
Proceedings of the International Conference on Machine Learning, 2022

Scaling Mean Field Games by Online Mirror Descent.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Conditional Loss and Deep Euler Scheme for Time Series Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Generalization in Mean Field Games by Learning Master Policies.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Game Plan: What AI can do for Football, and What Football can do for AI.
J. Artif. Intell. Res., 2021

An overview of active learning methods for insurance with fairness appreciation.
CoRR, 2021

Evolutionary Dynamics and Φ-Regret Minimization in Games.
CoRR, 2021

Time-series Imputation of Temporally-occluded Multiagent Trajectories.
CoRR, 2021

Scaling up Mean Field Games with Online Mirror Descent.
CoRR, 2021

Conditional Versus Adversarial Euler-based Generators For Time Series.
CoRR, 2021

Mean Field Games Flock! The Reinforcement Learning Way.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
An Adverse Selection Approach to Power Pricing.
SIAM J. Control. Optim., 2020

COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability.
CoRR, 2020

Reinforcement Learning in Economics and Finance.
CoRR, 2020

Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Convergence of Model Free Learning in Mean Field Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Contracting Theory with Competitive Interacting Agents.
SIAM J. Control. Optim., 2019

A Tale of a Principal and Many, Many Agents.
Math. Oper. Res., 2019

Approximate Fictitious Play for Mean Field Games.
CoRR, 2019

2018
On a Class of Path-Dependent Singular Stochastic Control Problems.
SIAM J. Control. Optim., 2018

2015
Approximate hedging for nonlinear transaction costs on the volume of traded assets.
Finance Stochastics, 2015

When terminal facelift enforces delta constraints.
Finance Stochastics, 2015

2010
Optimal Control under Stochastic Target Constraints.
SIAM J. Control. Optim., 2010

2009
Stochastic Target Problems with Controlled Loss.
SIAM J. Control. Optim., 2009

2008
Optimal lifetime consumption and investment under a drawdown constraint.
Finance Stochastics, 2008


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