MF-OMO: An Optimization Formulation of Mean-Field Games

20 June 2022

Papers citing "MF-OMO: An Optimization Formulation of Mean-Field Games"

9 / 9 papers shown

Title
Bounded Rationality Equilibrium Learning in Mean Field Games Yannick Eich Christian Fabian Kai Cui Heinz Koeppl 31 0 0 11 Nov 2024
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 41 0 0 07 Oct 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games Anran Hu Junzi Zhang 28 5 0 01 May 2024
When is Mean-Field Reinforcement Learning Tractable and Relevant? Batuhan Yardim Artur Goldman Niao He 23 7 0 08 Feb 2024
MESOB: Balancing Equilibria & Social Optimality Xin Guo Lihong Li Sareh Nabi R. Salhab Junzi Zhang 24 3 0 16 Jul 2023
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control Kai Cui Mengguang Li Christian Fabian Heinz Koeppl AI4CE 37 5 0 15 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 89 15 0 08 Sep 2022
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 61 45 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 64 91 0 02 Feb 2021