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

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

5 July 2020
Sarah Perrin
Julien Perolat
Mathieu Laurière
M. Geist
Romuald Elie
Olivier Pietquin
ArXivPDFHTML

Papers citing "Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications"

20 / 20 papers shown
Title
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
Chenyu Zhang
Xu Chen
Xuan Di
87
4
0
17 Feb 2025
Solving Infinite-Player Games with Player-to-Strategy Networks
Solving Infinite-Player Games with Player-to-Strategy Networks
Carlos Martin
T. Sandholm
54
0
0
17 Jan 2025
Bounded Rationality Equilibrium Learning in Mean Field Games
Bounded Rationality Equilibrium Learning in Mean Field Games
Yannick Eich
Christian Fabian
Kai Cui
Heinz Koeppl
36
0
0
11 Nov 2024
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
41
0
0
07 Oct 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Patrick Benjamin
Alessandro Abate
36
1
0
21 Aug 2024
Graphon Mean Field Games with a Representative Player: Analysis and
  Learning Algorithm
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
Fuzhong Zhou
Chenyu Zhang
Xu Chen
Xuan Di
33
2
0
08 May 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation
  Measures for Large Population Games
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Anran Hu
Junzi Zhang
30
5
0
01 May 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep
  Reinforcement Learning
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu
Mathieu Lauriere
Samuel Jia Cong Chua
M. Geist
Olivier Pietquin
Ankur M. Mehta
37
5
0
06 Mar 2024
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park
Kaipeng Zhang
Asuman Ozdaglar
30
8
0
13 Jul 2023
On Imitation in Mean-field Games
On Imitation in Mean-field Games
Giorgia Ramponi
Pavel Kolev
Olivier Pietquin
Niao He
Mathieu Laurière
M. Geist
AI4CE
30
0
0
26 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
40
2
0
05 Jun 2023
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum
  Problems
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
Atsushi Nitanda
Kazusato Oko
Denny Wu
Nobuhito Takenouchi
Taiji Suzuki
32
3
0
06 Mar 2023
MF-OMO: An Optimization Formulation of Mean-Field Games
MF-OMO: An Optimization Formulation of Mean-Field Games
Xin Guo
Anran Hu
Junzi Zhang
42
14
0
20 Jun 2022
Generalization in Mean Field Games by Learning Master Policies
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Romuald Élie
M. Geist
Olivier Pietquin
AI4CE
89
35
0
20 Sep 2021
Exploration noise for learning linear-quadratic mean field games
Exploration noise for learning linear-quadratic mean field games
François Delarue
A. Vasileiadis
MLT
34
11
0
02 Jul 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
M. Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
37
62
0
07 Jun 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
M. Geist
K. Tuyls
Olivier Pietquin
LRM
AI4CE
61
43
0
28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep
  Reinforcement Learning
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui
Heinz Koeppl
64
91
0
02 Feb 2021
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and
  Mean-Field Q-Learning
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona
Mathieu Laurière
Zongjun Tan
OffRL
26
97
0
28 Oct 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
122
595
0
28 Feb 2017
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