Learning Graphon Mean Field Games and Approximate Nash Equilibria

29 November 2021

Papers citing "Learning Graphon Mean Field Games and Approximate Nash Equilibria"

9 / 9 papers shown

Title
On the Interplay between Social Welfare and Tractability of Equilibria Ioannis Anagnostides T. Sandholm 42 2 0 10 Jan 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 81 1 0 01 Dec 2024
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 27 0 0 07 Oct 2024
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 17 8 0 13 Jan 2023
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning Yuanquan Hu Xiaoli Wei Jun Yan Heng-Wei Zhang 19 8 0 11 Sep 2022
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 81 34 0 20 Sep 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 91 0 02 Feb 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,599 0 02 Feb 2020