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2002.04131
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Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
SIAM Journal on Mathematics of Data Science (SIMODS), 2020
10 February 2020
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
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Papers citing
"Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis"
41 / 41 papers shown
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Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
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Learning to Stop: Deep Learning for Mean Field Optimal Stopping
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Yuchen Zhu
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Reinforcement Learning for Finite Space Mean-Field Type Games
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Jiacheng Shen
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Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
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20 Jun 2024
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
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344
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10 Jun 2024
Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games
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J. Fouque
Mathieu Laurière
Mengrui Zhang
372
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27 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
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Tamer Basar
275
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17 Mar 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
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Guannan Qu
415
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01 Mar 2024
Collaborative Optimization of the Age of Information under Partial Observability
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Kai Cui
Bastian Alt
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Heinz Koeppl
251
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Learning Discrete-Time Major-Minor Mean Field Games
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Gokcce Dayanikli
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Matthieu Geist
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Heinz Koeppl
236
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Actor critic learning algorithms for mean-field control with moment neural networks
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MESOB: Balancing Equilibria & Social Optimality
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Lihong Li
Sareh Nabi
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238
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16 Jul 2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
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Kai Cui
Sascha H. Hauck
Christian Fabian
Heinz Koeppl
352
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12 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
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Barna Pásztor
Tadeusz Janik
Kecheng Zhang
Francesco Corman
Andreas Krause
Ilija Bogunovic
335
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29 Jun 2023
Continuous-time q-learning for mean-field control problems
Xiaoli Wei
Xian Yu
450
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28 Jun 2023
On Imitation in Mean-field Games
Neural Information Processing Systems (NeurIPS), 2023
Giorgia Ramponi
Pavel Kolev
Olivier Pietquin
Niao He
Mathieu Laurière
Matthieu Geist
AI4CE
226
8
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26 Jun 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Kai Cui
Christian Fabian
Anam Tahir
Heinz Koeppl
341
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19 Mar 2023
Actor-Critic learning for mean-field control in continuous time
N. Frikha
Maximilien Germain
Mathieu Laurière
H. Pham
Xuan Song
229
25
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13 Mar 2023
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Zhaoyi Zhou
Zaiwei Chen
Yiheng Lin
Adam Wierman
368
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08 Mar 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
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256
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Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
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227
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Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
IEEE International Conference on Robotics and Automation (ICRA), 2022
Kai Cui
Mengguang Li
Christian Fabian
Heinz Koeppl
AI4CE
325
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15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
Journal of the Franklin Institute (JFI), 2022
Yuanquan Hu
Xiaoli Wei
Jun Yan
Heng-Wei Zhang
214
17
0
11 Sep 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
342
21
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08 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
232
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0
07 Sep 2022
Hypergraphon Mean Field Games
Chaos (Chaos), 2022
Kai Cui
Wasiur R. KhudaBukhsh
Heinz Koeppl
AI4CE
285
8
0
30 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
306
9
0
28 Feb 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui
Heinz Koeppl
AI4CE
496
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29 Nov 2021
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Romuald Élie
Matthieu Geist
Olivier Pietquin
AI4CE
270
46
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20 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Journal of machine learning research (JMLR), 2021
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
630
59
0
09 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Mathematics of Operations Research (MOR), 2021
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
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332
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05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor
Ilija Bogunovic
Andreas Krause
390
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0
08 Jul 2021
Discrete-Time Mean Field Control with Environment States
IEEE Conference on Decision and Control (CDC), 2021
Kai Cui
Anam Tahir
Mark Sinzger
Heinz Koeppl
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263
14
0
30 Apr 2021
Exploratory LQG Mean Field Games with Entropy Regularization
Dena Firoozi
S. Jaimungal
444
39
0
25 Nov 2020
Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization
Journal of Dynamics & Games (JDG), 2020
René Carmona
Kenza Hamidouche
Mathieu Laurière
Zongjun Tan
239
11
0
01 Sep 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems
MCSS. Mathematics of Control, Signals and Systems (MCSS), 2020
Andrea Angiuli
J. Fouque
Mathieu Laurière
461
90
0
24 Jun 2020
A General Framework for Learning Mean-Field Games
Mathematics of Operations Research (MOR), 2020
Xin Guo
Anran Hu
Renyuan Xu
Junzi Zhang
OffRL
AI4CE
776
61
0
13 Mar 2020
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
The Annals of Applied Probability (AAP), 2019
René Carmona
Mathieu Laurière
Zongjun Tan
OffRL
242
122
0
28 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona
Mathieu Laurière
Zongjun Tan
309
69
0
09 Oct 2019
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