Generalization in Mean Field Games by Learning Master Policies

20 September 2021

Sarah Perrin

Mathieu Laurière

Julien Pérolat

Romuald Élie

M. Geist

Olivier Pietquin

AI4CE

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Papers citing "Generalization in Mean Field Games by Learning Master Policies"

22 / 22 papers shown

Title
On the Interplay between Social Welfare and Tractability of Equilibria Ioannis Anagnostides T. Sandholm 40 2 0 10 Jan 2025
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 27 0 0 07 Oct 2024
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning Batuhan Yardim Niao He AI4CE 28 5 0 27 Aug 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 27 1 0 21 Aug 2024
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm Fuzhong Zhou Chenyu Zhang Xu Chen Xuan Di 20 2 0 08 May 2024
Deep Backward and Galerkin Methods for the Finite State Master Equation Asaf Cohen Mathieu Lauriere Ethan C. Zell 28 2 0 08 Mar 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua M. Geist Olivier Pietquin Ankur M. Mehta 20 5 0 06 Mar 2024
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations Han Huang Rongjie Lai 12 3 0 27 Jan 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 26 2 0 05 Jun 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning Kai Cui Christian Fabian Anam Tahir Heinz Koeppl 14 2 0 19 Mar 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 6 2 0 07 Feb 2023
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 11 16 0 13 Oct 2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments I. Gemp Thomas W. Anthony Yoram Bachrach Avishkar Bhoopchand Kalesha Bullard ... Florian Strub Andrea Tacchetti Eugene Tarassov Zhe Wang K. Tuyls LLMAG AI4CE 28 3 0 22 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control Kai Cui Mengguang Li Christian Fabian Heinz Koeppl AI4CE 27 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 78 15 0 08 Sep 2022
Hypergraphon Mean Field Games Kai Cui Wasiur R. KhudaBukhsh Heinz Koeppl AI4CE 15 7 0 30 Mar 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games Mathieu Laurière Sarah Perrin Sertan Girgin Paul Muller Ayush Jain ... Georgios Piliouras Julien Pérolat Romuald Élie Olivier Pietquin M. Geist 16 42 0 22 Mar 2022
Empirical Game-Theoretic Analysis for Mean Field Games Yongzhao Wang Michael P. Wellman 9 4 0 02 Dec 2021
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 14 34 0 29 Nov 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games Yang Chen Libo Zhang Jiamou Liu Michael Witbrock AI4CE 28 6 0 29 Apr 2021
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 48 45 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 56 79 0 02 Feb 2021