ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.04024
  4. Cited By
On the Approximation of Cooperative Heterogeneous Multi-Agent
  Reinforcement Learning (MARL) using Mean Field Control (MFC)
v1v2v3 (latest)

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

Journal of machine learning research (JMLR), 2021
9 September 2021
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
ArXiv (abs)PDFHTML

Papers citing "On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)"

29 / 29 papers shown
High-dimensional Mean-Field Games by Particle-based Flow Matching
High-dimensional Mean-Field Games by Particle-based Flow Matching
Jiajia Yu
Junghwan Lee
Yao Xie
Xiuyuan Cheng
171
1
0
01 Dec 2025
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
Simin Li
Zheng Yuwei
Zihao Mao
L. Wang
R. Xu
...
Jie Luo
Bo An
Yaodong Yang
Weifeng Lv
Xianglong Liu
AAML
311
0
0
18 Sep 2025
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Yuxuan Zheng
Yihe Zhou
Feiyang Xu
Mingli Song
Shunyu Liu
OffRL
387
0
0
10 May 2025
Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles
Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface VehiclesAnnual Conference on Information Sciences and Systems (CISS), 2025
Jiahao You
Ziye Jia
Chao Dong
Qihui Wu
Zhu Han
346
7
0
12 Feb 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by CoevolutionIEEE Transactions on Evolutionary Computation (TEVC), 2022
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
660
25
0
03 Jan 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand
Ishani Karmarkar
Guannan Qu
734
8
0
01 Dec 2024
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino
Yuchen Zhu
Mathieu Laurière
AI4CE
275
1
0
11 Oct 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type
  Game Perspective
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective
Muhammad Aneeq uz Zaman
Mathieu Laurière
Alec Koppel
Tamer Basar
313
8
0
20 Jun 2024
Symmetric Linear Bandits with Hidden Symmetry
Symmetric Linear Bandits with Hidden Symmetry
Nam-Phuong Tran
T. Ta
Debmalya Mandal
Long Tran-Thanh
430
1
0
22 May 2024
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous
  Multiagent Systems
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
Qing Fu
Zhiqiang Pu
Min Chen
Tenghai Qiu
Jianqiang Yi
257
0
0
26 Mar 2024
Efficient Reinforcement Learning for Global Decision Making in the
  Presence of Local Agents at Scale
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
Emile Anand
Guannan Qu
414
9
0
01 Mar 2024
Heterogeneous Embodied Multi-Agent Collaboration
Heterogeneous Embodied Multi-Agent CollaborationIEEE Robotics and Automation Letters (RA-L), 2023
Xinzhu Liu
Di Guo
Huaping Liu
434
18
0
26 Jul 2023
Learning Decentralized Partially Observable Mean Field Control for
  Artificial Collective Behavior
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective BehaviorInternational Conference on Learning Representations (ICLR), 2023
Kai Cui
Sascha H. Hauck
Christian Fabian
Heinz Koeppl
352
13
0
12 Jul 2023
Continuous-time q-learning for mean-field control problems
Continuous-time q-learning for mean-field control problems
Xiaoli Wei
Xian Yu
450
18
0
28 Jun 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Major-Minor Mean Field Multi-Agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Kai Cui
Christian Fabian
Anam Tahir
Heinz Koeppl
340
6
0
19 Mar 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement
  Learning in Presence of a Non-decomposable Shared Global State
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
256
9
0
13 Jan 2023
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
514
10
0
04 Oct 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
227
8
0
15 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and
  Learning Mean-Field Control
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field ControlIEEE International Conference on Robotics and Automation (ICRA), 2022
Kai Cui
Mengguang Li
Christian Fabian
Heinz Koeppl
AI4CE
324
11
0
15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement
  Learning
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement LearningJournal 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
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
0
08 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
232
5
0
07 Sep 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
500
2
0
16 Aug 2022
Hypergraphon Mean Field Games
Hypergraphon Mean Field GamesChaos (Chaos), 2022
Kai Cui
Wasiur R. KhudaBukhsh
Heinz Koeppl
AI4CE
283
8
0
30 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent
  Reinforcement Learning (MARL) with Non-Uniform Interaction?
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
302
9
0
28 Feb 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui
Heinz Koeppl
AI4CE
496
49
0
29 Nov 2021
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence
  and Complexity Analysis
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity AnalysisSIAM Journal on Mathematics of Data Science (SIMODS), 2020
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
585
79
0
10 Feb 2020
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona
Mathieu Laurière
Zongjun Tan
306
69
0
09 Oct 2019
Reinforcement Learning for Mean Field Game
Reinforcement Learning for Mean Field Game
Mridul Agarwal
Vaneet Aggarwal
A. Ghosh
Nilay Tiwari
306
16
0
30 May 2019
1
Page 1 of 1