Networked Communication for Decentralised Agents in Mean-Field Games

5 June 2023

Papers citing "Networked Communication for Decentralised Agents in Mean-Field Games"

9 / 9 papers shown

Title
The Power in Communication: Power Regularization of Communication for Autonomy in Cooperative Multi-Agent Reinforcement Learning Nancirose Piazza Vahid Behzadan Stefan Sarkadi 30 1 0 09 Apr 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL Jiawei Huang Niao He Andreas Krause 24 6 0 08 Feb 2024
Learning Discrete-Time Major-Minor Mean Field Games Kai Cui Gokcce Dayanikli Mathieu Laurière M. Geist Olivier Pietquin Heinz Koeppl 26 3 0 17 Dec 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci M. Geist Niao He 48 28 0 29 Dec 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
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
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