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Oracle-free Reinforcement Learning in Mean-Field Games along a Single
  Sample Path
v1v2v3 (latest)

Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path

24 August 2022
Muhammad Aneeq uz Zaman
Alec Koppel
Sujay Bhatt
Tamer Basar
ArXiv (abs)PDFHTML

Papers citing "Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path"

14 / 14 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
148
5
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
94
0
0
07 Oct 2024
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement
  Learning
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
Batuhan Yardim
Niao He
AI4CE
81
5
0
27 Aug 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
143
1
0
21 Aug 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type
  Game Perspective
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
Muhammad Aneeq uz Zaman
Mathieu Laurière
Alec Koppel
Tamer Basar
96
3
0
20 Jun 2024
A Single Online Agent Can Efficiently Learn Mean Field Games
A Single Online Agent Can Efficiently Learn Mean Field Games
Chenyu Zhang
Xu Chen
Xuan Di
OffRL
95
2
0
05 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
82
7
0
01 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
102
4
0
17 Mar 2024
When is Mean-Field Reinforcement Learning Tractable and Relevant?
When is Mean-Field Reinforcement Learning Tractable and Relevant?
Batuhan Yardim
Artur Goldman
Niao He
80
8
0
08 Feb 2024
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Peihan Huo
Oscar Peralta
Junyu Guo
Qiaomin Xie
Andreea Minca
33
1
0
25 Oct 2023
Learning Regularized Monotone Graphon Mean-Field Games
Learning Regularized Monotone Graphon Mean-Field Games
Fengzhuo Zhang
Vincent Y. F. Tan
Zhaoran Wang
Zhuoran Yang
87
8
0
12 Oct 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
165
2
0
05 Jun 2023
Regularization of the policy updates for stabilizing Mean Field Games
Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei
Rubén Solozabal
Réda Alami
Hakim Hacid
Merouane Debbah
Martin Takáč
OffRL
64
5
0
04 Apr 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean
  Field Games
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Batuhan Yardim
Semih Cayci
Matthieu Geist
Niao He
126
29
0
29 Dec 2022
1