Language Agents as Digital Representatives in Collective Decision-Making.
CoRR, February, 2025
Diversity-Rewarded CFG Distillation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Fairness guarantees in multi-class classification with demographic parity.
J. Mach. Learn. Res., 2024
Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem.
CoRR, 2024
Generative Adversarial Equilibrium Solvers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Approximating the Core via Iterative Coalition Sampling.
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Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Evolutionary Dynamics and Phi-Regret Minimization in Games.
J. Artif. Intell. Res., 2022
Learning Correlated Equilibria in Mean-Field Games.
CoRR, 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.
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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
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.
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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
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
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
On a Class of Path-Dependent Singular Stochastic Control Problems.
SIAM J. Control. Optim., 2018
Approximate hedging for nonlinear transaction costs on the volume of traded assets.
Finance Stochastics, 2015
When terminal facelift enforces delta constraints.
Finance Stochastics, 2015
Optimal Control under Stochastic Target Constraints.
SIAM J. Control. Optim., 2010
Stochastic Target Problems with Controlled Loss.
SIAM J. Control. Optim., 2009
Optimal lifetime consumption and investment under a drawdown constraint.
Finance Stochastics, 2008