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2002.02513
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Multi Type Mean Field Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
6 February 2020
Sriram Ganapathi Subramanian
Pascal Poupart
Matthew E. Taylor
N. Hegde
AI4CE
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Papers citing
"Multi Type Mean Field Reinforcement Learning"
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An Overview of Some Extensions of Mean Field Games beyond Perfect Homogeneity and Anonymity
Science China Information Sciences (Sci. China Inf. Sci.), 2025
Mathieu Laurière
108
4
0
07 Nov 2025
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
284
0
0
18 Sep 2025
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yang Chen
Xiao Lin
Bo Yan
Libo Zhang
Jiamou Liu
N. Tan
Michael Witbrock
OffRL
AI4CE
115
5
0
04 Sep 2025
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
Li Wang
Xin Yu
Xuxin Lv
Gangzheng Ai
Wenjun Wu
AAML
259
0
0
20 May 2025
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Yuxuan Zheng
Yihe Zhou
Feiyang Xu
Mingli Song
Shunyu Liu
OffRL
330
0
0
10 May 2025
Reinforcement Learning for Finite Space Mean-Field Type Games
Kai Shao
Jiacheng Shen
Chijie An
AI4CE
466
5
0
25 Sep 2024
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
Conference on Learning for Dynamics & Control (L4DC), 2024
Batuhan Yardim
Niao He
AI4CE
247
6
0
27 Aug 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Patrick Benjamin
Alessandro Abate
466
2
0
21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents
David Molina Concha
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Chi-Guhn Lee
190
1
0
19 Aug 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Anran Hu
Junzi Zhang
302
7
0
01 May 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
Jiawei Huang
Niao He
Andreas Krause
363
8
0
08 Feb 2024
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Peihan Huo
Oscar Peralta
Junyu Guo
Qiaomin Xie
Andreea Minca
167
1
0
25 Oct 2023
Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks
Hengxi Zhang
Huaze Tang
Wenbo Ding
Xiao-Ping Zhang
76
3
0
08 Aug 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
529
2
0
05 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
309
37
0
17 May 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Kai Cui
Christian Fabian
Anam Tahir
Heinz Koeppl
310
6
0
19 Mar 2023
Population-size-Aware Policy Optimization for Mean-Field Games
International Conference on Learning Representations (ICLR), 2023
Pengdeng Li
Xinrun Wang
Shuxin Li
Hau Chan
Bo An
229
3
0
07 Feb 2023
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
Tanvi Verma
Pradeep Varakantham
178
0
0
27 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
315
21
0
08 Sep 2022
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
420
21
0
17 Aug 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Yang Chen
Libo Zhang
Jiamou Liu
Shuyue Hu
AI4CE
230
14
0
13 Feb 2022
Decentralized Mean Field Games
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OOD
OffRL
394
19
0
16 Dec 2021
Scalable regret for learning to control network-coupled subsystems with unknown dynamics
Sagar Sudhakara
Aditya Mahajan
A. Nayyar
Yi Ouyang
188
3
0
18 Aug 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Yang Chen
Libo Zhang
Jiamou Liu
Michael Witbrock
AI4CE
393
11
0
29 Apr 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Xiaoteng Ma
Yiqin Yang
Chenghao Li
Yiwen Lu
Qianchuan Zhao
Yang Jun
205
16
0
10 Feb 2021
Improved Cooperation by Exploiting a Common Signal
Autonomous Agents and Multi-Agent Systems (AAMAS), 2021
Panayiotis Danassis
Zeki Doruk Erden
Boi Faltings
204
2
0
03 Feb 2021
Partially Observable Mean Field Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OOD
287
34
0
31 Dec 2020
Thompson sampling for linear quadratic mean-field teams
Mukul Gagrani
Sagar Sudhakara
Aditya Mahajan
A. Nayyar
Ouyang Yi
222
5
0
09 Nov 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry
Benjamin Black
Nathaniel Grammel
Mario Jayakumar
Ananth Hari
...
Caroline Horsch
Clemens Dieffendahl
Niall L. Williams
Yashas Lokesh
Praveen Ravi
OffRL
767
388
0
30 Sep 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
713
61
0
13 Mar 2020
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