Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation

21 August 2024

Papers citing "Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation"

21 / 21 papers shown

Title
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 115 5 0 17 Feb 2025
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning Batuhan Yardim Niao He AI4CE 59 5 0 27 Aug 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games Anran Hu Junzi Zhang 70 7 0 01 May 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua Matthieu Geist Olivier Pietquin Ankur M. Mehta 69 5 0 06 Mar 2024
When is Mean-Field Reinforcement Learning Tractable and Relevant? Batuhan Yardim Artur Goldman Niao He 56 8 0 08 Feb 2024
Regularization of the policy updates for stabilizing Mean Field Games Talal Algumaei Rubén Solozabal Réda Alami Hakim Hacid Merouane Debbah Martin Takáč OffRL 29 5 0 04 Apr 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci Matthieu Geist Niao He 75 30 0 29 Dec 2022
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path Muhammad Aneeq uz Zaman Alec Koppel Sujay Bhatt Tamer Basar 26 25 0 24 Aug 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 Matthieu Geist 49 43 0 22 Mar 2022
Decentralized Mean Field Games Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD OffRL 73 15 0 16 Dec 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 121 37 0 20 Sep 2021
Mean Field Games Flock! The Reinforcement Learning Way Sarah Perrin Mathieu Laurière Julien Pérolat Matthieu Geist Romuald Élie Olivier Pietquin AI4CE 48 46 0 17 May 2021
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras Matthieu Geist K. Tuyls Olivier Pietquin LRM AI4CE 84 46 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 95 94 0 02 Feb 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 64 27 0 31 Dec 2020
Munchausen Reinforcement Learning Nino Vieillard Olivier Pietquin Matthieu Geist OffRL 42 90 0 28 Jul 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin Julien Perolat Mathieu Laurière Matthieu Geist Romuald Elie Olivier Pietquin 52 121 0 05 Jul 2020
Q-Learning in Regularized Mean-field Games Berkay Anahtarci Can Deha Kariksiz Naci Saldi OOD 65 76 0 24 Mar 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 68 51 0 13 Mar 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 40 56 0 06 Feb 2020
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 58 574 0 15 Feb 2018