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When is Mean-Field Reinforcement Learning Tractable and Relevant?

When is Mean-Field Reinforcement Learning Tractable and Relevant?

Batuhan Yardim
Artur Goldman
Niao He
ArXiv (abs)PDFHTML

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

4 / 4 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
46
0
0
06 Jun 2025
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
96
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
145
1
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
173
2
0
05 Jun 2023

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