Sarah Perrin

According to our database, Sarah Perrin authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mastering Board Games by External and Internal Planning with Language Models.

John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev

CoRR, 2024

Diversity-Rewarded CFG Distillation.

Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Ramé

CoRR, 2024

BOND: Aligning LLMs with Best-of-N Distillation.

Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem

CoRR, 2024

Approximating the Core via Iterative Coalition Sampling.

Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022

Scaling up Multi-agent Reinforcement Learning with Mean Field Games and Vice-versa. (Mise à l'échelle de l'apprentissage par renforcement multi-agent grâce aux jeux à champ moyen et vice-versa).

Sarah Perrin

PhD thesis, 2022

Learning Correlated Equilibria in Mean-Field Games.

Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls

CoRR, 2022

Learning Mean Field Games: A Survey.

Mathieu Laurière, Sarah Perrin, Matthieu Geist, Olivier Pietquin

CoRR, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 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

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.

Theophile Cabannes, Mathieu Laurière, Julien Pérolat, Raphaël Marinier, Sertan Girgin, Sarah Perrin, Olivier Pietquin, Alexandre M. Bayen, Eric Goubault, Romuald Elie

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Generalization in Mean Field Games by Learning Master Policies.

Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Mean Field Games Flock! The Reinforcement Learning Way.

Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications.

Sarah Perrin, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, Olivier Pietquin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020