ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.02513
  4. Cited By
Multi Type Mean Field Reinforcement Learning
v1v2v3v4v5v6v7 (latest)

Multi Type Mean Field Reinforcement Learning

6 February 2020
Sriram Ganapathi Subramanian
Pascal Poupart
Matthew E. Taylor
N. Hegde
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Multi Type Mean Field Reinforcement Learning"

27 / 27 papers shown
Title
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
Li Wang
Xin Yu
Xuxin Lv
Gangzheng Ai
Wenjun Wu
AAML
69
0
0
20 May 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
95
0
0
10 May 2025
Reinforcement Learning for Finite Space Mean-Field Type Games
Reinforcement Learning for Finite Space Mean-Field Type Games
Kai Shao
Jiacheng Shen
Chijie An
Mathieu Laurière
AI4CE
76
1
0
25 Sep 2024
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement
  Learning
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
Batuhan Yardim
Niao He
AI4CE
81
5
0
27 Aug 2024
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Patrick Benjamin
Alessandro Abate
145
1
0
21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents
Algorithmic Contract Design with Reinforcement Learning Agents
David Molina Concha
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Chi-Guhn Lee
71
1
0
19 Aug 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation
  Measures for Large Population Games
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Anran Hu
Junzi Zhang
91
7
0
01 May 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than
  Single-Agent RL
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
Jiawei Huang
Niao He
Andreas Krause
114
7
0
08 Feb 2024
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Reinforcement Learning for SBM Graphon Games with Re-Sampling
Peihan Huo
Oscar Peralta
Junyu Guo
Qiaomin Xie
Andreea Minca
42
1
0
25 Oct 2023
Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for
  Resource Management in Space-Air-Ground Integrated Networks
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
13
1
0
08 Aug 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
173
2
0
05 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
120
15
0
17 May 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Kai Cui
Christian Fabian
Anam Tahir
Heinz Koeppl
79
2
0
19 Mar 2023
Population-size-Aware Policy Optimization for Mean-Field Games
Population-size-Aware Policy Optimization for Mean-Field Games
Pengdeng Li
Xinrun Wang
Shuxin Li
Hau Chan
Bo An
62
2
0
07 Feb 2023
Learning Individual Policies in Large Multi-agent Systems through Local
  Variance Minimization
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
Tanvi Verma
Pradeep Varakantham
54
0
0
27 Dec 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
168
15
0
08 Sep 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
96
19
0
17 Aug 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Yang Chen
Libo Zhang
Jiamou Liu
Shuyue Hu
AI4CE
80
9
0
13 Feb 2022
Decentralized Mean Field Games
Decentralized Mean Field Games
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OODOffRL
116
15
0
16 Dec 2021
Scalable regret for learning to control network-coupled subsystems with
  unknown dynamics
Scalable regret for learning to control network-coupled subsystems with unknown dynamics
Sagar Sudhakara
Aditya Mahajan
A. Nayyar
Yi Ouyang
66
3
0
18 Aug 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games
Adversarial Inverse Reinforcement Learning for Mean Field Games
Yang Chen
Libo Zhang
Jiamou Liu
Michael Witbrock
AI4CE
109
6
0
29 Apr 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent
  Reinforcement Learning
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Xiaoteng Ma
Yiqin Yang
Chenghao Li
Yiwen Lu
Qianchuan Zhao
Yang Jun
93
14
0
10 Feb 2021
Improved Cooperation by Exploiting a Common Signal
Improved Cooperation by Exploiting a Common Signal
Panayiotis Danassis
Zeki Doruk Erden
Boi Faltings
83
3
0
03 Feb 2021
Partially Observable Mean Field Reinforcement Learning
Partially Observable Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian
Matthew E. Taylor
Mark Crowley
Pascal Poupart
OOD
106
27
0
31 Dec 2020
Thompson sampling for linear quadratic mean-field teams
Thompson sampling for linear quadratic mean-field teams
Mukul Gagrani
Sagar Sudhakara
Aditya Mahajan
A. Nayyar
Ouyang Yi
53
4
0
09 Nov 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
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
149
288
0
30 Sep 2020
A General Framework for Learning Mean-Field Games
A General Framework for Learning Mean-Field Games
Xin Guo
Anran Hu
Renyuan Xu
Junzi Zhang
OffRLAI4CE
137
51
0
13 Mar 2020
1