Sarah Perrin
Sarah Perrin
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2022
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Mathieu Laurière
,
Sarah Perrin
,
Matthieu Geist
,
Olivier Pietquin
(2022).
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
. Preprint.
PDF
Mathieu Laurière
,
Sarah Perrin
,
Sertan Girgin
,
Paul Muller
,
Ayush Jain
,
Theophile Cabannes
,
Georgios Piliouras
,
Julien Pérolat
,
Romuald Elie
,
Olivier Pietquin
,
Matthieu Geist
(2022).
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
. ICML 2022.
PDF
Sarah Perrin
,
Mathieu Laurière
,
Julien Pérolat
,
Romuald Elie
,
Matthieu Geist
,
Olivier Pietquin
(2021).
Generalization in Mean Field Games by Learning Master Policies
. AAAI 2022.
PDF
Theophile Cabannes
,
Mathieu Laurière
,
Julien Pérolat
,
Raphael Marinier
,
Sertan Girgin
,
Sarah Perrin
,
Olivier Pietquin
,
Alexandre M Bayen
,
Eric Goubault
,
Romuald Elie
(2021).
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
.
PDF
Matthieu Geist
,
Julien Pérolat
,
Mathieu Laurière
,
Romuald Elie
,
Sarah Perrin
,
Olivier Bachem
,
Rémi Munos
,
Olivier Pietquin
(2021).
Concave Utility Reinforcement Learning: the Mean-field Game viewpoint
. Under review.
PDF
Julien Pérolat
,
Sarah Perrin
,
Romuald Elie
,
Mathieu Laurière
,
Georgios Piliouras
,
Matthieu Geist
,
Karl Tuyls
,
Olivier Pietquin
(2021).
Scaling up Mean Field Games with Online Mirror Descent
. Under review.
PDF
Sarah Perrin
,
Mathieu Laurière
,
Julien Pérolat
,
Matthieu Geist
,
Romuald Elie
,
Olivier Pietquin
(2021).
Mean Field Games Flock! The Reinforcement Learning Way
. IJCAI 2021.
PDF
Sarah Perrin
,
Julien Pérolat
,
Mathieu Laurière
,
Matthieu Geist
,
Romuald Elie
,
Olivier Pietquin
(2020).
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
. NeurIPS 2020.
PDF
Sarah Perrin
,
Thierry Roncalli
(2019).
Machine learning optimization algorithms & portfolio allocation
. Machine Learning for Asset Management: New Developments and Financial Applications.
PDF
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