A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

8 September 2022

Papers citing "A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning"

9 / 9 papers shown

Title
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 79 4 0 17 Feb 2025
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 27 0 0 07 Oct 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 26 2 0 05 Jun 2023
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 73 34 0 20 Sep 2021
Dynamic neighbourhood optimisation for task allocation using multi-agent N. Creech Natalia Criado S. Miles 47 1 0 16 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 56 79 0 02 Feb 2021
Reinforcement Learning for Optimization of COVID-19 Mitigation policies Varun Kompella Roberto Capobianco Stacy Jong Jonathan Browne S. Fox L. Meyers Peter R. Wurman Peter Stone 62 46 0 20 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 137 1,599 0 02 Feb 2020
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges Hazim Shakhatreh Ahmad H. Sawalmeh Ala I. Al-Fuqaha Zuochao Dou Eyad K. Almaita Issa M. Khalil Noor Shamsiah Othman Abdallah Khreishah M. Guizani 102 1,479 0 19 Apr 2018