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Unified Reinforcement Q-Learning for Mean Field Game and Control
  Problems

Unified Reinforcement Q-Learning for Mean Field Game and Control Problems

24 June 2020
Andrea Angiuli
J. Fouque
Mathieu Laurière
ArXivPDFHTML

Papers citing "Unified Reinforcement Q-Learning for Mean Field Game and Control Problems"

18 / 18 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
92
4
0
17 Feb 2025
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
51
0
0
07 Oct 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
43
2
0
08 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
Mathieu Laurière
Tamer Basar
39
3
0
17 Mar 2024
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
Andrea Angiuli
J. Fouque
Ruimeng Hu
Alan Raydan
37
5
0
19 Sep 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
37
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
49
2
0
05 Jun 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement
  Learning in Presence of a Non-decomposable Shared Global State
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
33
8
0
13 Jan 2023
Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
37
4
0
15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement
  Learning
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
Yuanquan Hu
Xiaoli Wei
Jun Yan
Heng-Wei Zhang
42
8
0
11 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
28
5
0
07 Sep 2022
MF-OMO: An Optimization Formulation of Mean-Field Games
MF-OMO: An Optimization Formulation of Mean-Field Games
Xin Guo
Anran Hu
Junzi Zhang
50
14
0
20 Jun 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent
  Reinforcement Learning (MARL) with Non-Uniform Interaction?
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
29
9
0
28 Feb 2022
On the Approximation of Cooperative Heterogeneous Multi-Agent
  Reinforcement Learning (MARL) using Mean Field Control (MFC)
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
33
43
0
09 Sep 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor
Ilija Bogunovic
Andreas Krause
28
41
0
08 Jul 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
66
65
0
28 Feb 2021
Thompson sampling for linear quadratic mean-field teams
Thompson sampling for linear quadratic mean-field teams
Mukul Gagrani
Sagar Sudhakara
Aditya Mahajan
A. Nayyar
Ouyang Yi
18
4
0
09 Nov 2020
Convergence of Deep Fictitious Play for Stochastic Differential Games
Convergence of Deep Fictitious Play for Stochastic Differential Games
Jiequn Han
Ruimeng Hu
Jihao Long
21
19
0
12 Aug 2020
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