A General Framework for Learning Mean-Field Games

A General Framework for Learning Mean-Field Games

Papers citing "A General Framework for Learning Mean-Field Games"

50 / 51 papers shown
Title
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
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
69
64
0
07 Jun 2021
Mean Field Games Flock! The Reinforcement Learning Way
Mean Field Games Flock! The Reinforcement Learning Way
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Matthieu Geist
Romuald Élie
Olivier Pietquin
48
46
0
17 May 2021
Scaling up Mean Field Games with Online Mirror Descent
Scaling up Mean Field Games with Online Mirror Descent
Julien Perolat
Sarah Perrin
Romuald Elie
Mathieu Laurière
Georgios Piliouras
Matthieu Geist
K. Tuyls
Olivier Pietquin
81
46
0
28 Feb 2021
Fictitious Play for Mean Field Games: Continuous Time Analysis and
  Applications
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin
Julien Perolat
Mathieu Laurière
Matthieu Geist
Romuald Elie
Olivier Pietquin
52
121
0
05 Jul 2020
On the Convergence of Model Free Learning in Mean Field Games
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie
Julien Pérolat
Mathieu Laurière
Matthieu Geist
Olivier Pietquin
52
91
0
04 Jul 2019

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