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"

50 / 98 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
Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe Kenshi Abe Kaito Ariu 63 0 0 07 Oct 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 92 2 0 05 Jun 2023
MF-OMO: An Optimization Formulation of Mean-Field Games Xin Guo Anran Hu Junzi Zhang 66 14 0 20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 56 34 0 15 Jun 2022
Hypergraphon Mean Field Games Kai Cui Wasiur R. KhudaBukhsh Heinz Koeppl AI4CE 46 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 Matthieu Geist 49 43 0 22 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 63 34 0 15 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 55 9 0 28 Feb 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games Yang Chen Libo Zhang Jiamou Liu Shuyue Hu AI4CE 59 9 0 13 Feb 2022
Decentralized Mean Field Games Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD OffRL 73 15 0 16 Dec 2021
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 78 37 0 29 Nov 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 47 70 0 29 Nov 2021
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO Paul Muller Mark Rowland Romuald Elie Georgios Piliouras Julien Perolat Mathieu Lauriere Raphaël Marinier Olivier Pietquin K. Tuyls 37 25 0 16 Nov 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 54 132 0 27 Oct 2021
Solving N-player dynamic routing games with congestion: a mean field approach M. Chekol Mathieu Lauriere Julien Perolat Jakob Huber Sertan Girgin Sarah Perrin Olivier Pietquin Alexandre M. Bayen Eric Goubault Romuald Elie 36 17 0 22 Oct 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 126 37 0 20 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 57 43 0 09 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 56 36 0 05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 52 41 0 08 Jul 2021
Reinforcement Learning for Mean Field Games, with Applications to Economics Andrea Angiuli J. Fouque Mathieu Lauriere 60 27 0 25 Jun 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
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning Ramzi Ourari Kai Cui Ahmed Elshamanhory Heinz Koeppl 42 9 0 30 Apr 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 39 13 0 30 Apr 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 130 1,246 0 02 Mar 2021
Dynamic neighbourhood optimisation for task allocation using multi-agent N. Creech Natalia Criado S. Miles 79 1 0 16 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 100 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
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip Torr Mingfei Sun Shimon Whiteson 62 331 0 18 Nov 2020
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 101 50 0 20 Oct 2020
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 76 74 0 30 Sep 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
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 53 27 0 21 Jun 2020
Transporting Robotic Swarms via Mean-Field Feedback Control Tongjia Zheng Qing Han Hai Lin 25 33 0 20 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 99 353 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 53 229 0 14 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 66 70 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 59 38 0 11 Jun 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 63 145 0 05 Jun 2020
A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning Changliu Liu 24 14 0 27 Apr 2020
Q-Learning in Regularized Mean-field Games Berkay Anahtarci Can Deha Kariksiz Naci Saldi OOD 65 76 0 24 Mar 2020
Reinforcement Learning in Economics and Finance Arthur Charpentier Romuald Elie Carl Remlinger OffRL 73 153 0 22 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 57 235 0 13 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
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 58 66 0 10 Feb 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 40 56 0 06 Feb 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 329 1,681 0 02 Feb 2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks Joseph Suárez Yilun Du Igor Mordatch Phillip Isola AI4CE 28 6 0 31 Jan 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 46 9 0 14 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 144 1,822 0 13 Dec 2019