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MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
v1v2 (latest)

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games

1 May 2024
Anran Hu
Junzi Zhang
ArXiv (abs)PDFHTML

Papers citing "MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games"

5 / 5 papers shown
Title
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games
Policy Optimization for Continuous-time Linear-Quadratic Graphon Mean Field Games
Philipp Plank
Yufei Zhang
160
1
0
06 Jun 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
Steering No-Regret Agents in MFGs under Model UncertaintyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Leo Widmer
Jiawei Huang
Niao He
LLMSV
254
1
0
12 Mar 2025
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
487
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
359
2
0
21 Aug 2024
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
411
2
0
05 Jun 2023
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