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When is Mean-Field Reinforcement Learning Tractable and Relevant?

When is Mean-Field Reinforcement Learning Tractable and Relevant?

8 February 2024
Batuhan Yardim
Artur Goldman
Niao He
ArXivPDFHTML

Papers citing "When is Mean-Field Reinforcement Learning Tractable and Relevant?"

5 / 5 papers shown
Title
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
31
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
34
1
0
21 Aug 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
28
5
0
01 May 2024
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
38
2
0
05 Jun 2023
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
59
91
0
02 Feb 2021
1