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Mean Field Multi-Agent Reinforcement Learning

Mean Field Multi-Agent Reinforcement Learning

15 February 2018
Yaodong Yang
Rui Luo
Minne Li
M. Zhou
Weinan Zhang
Jun Wang
    AI4CE
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Papers citing "Mean Field Multi-Agent Reinforcement Learning"

50 / 109 papers shown
Title
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
34
0
0
10 May 2025
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
Qirui Mi
Mengyue Yang
Xiangning Yu
Zhiyu Zhao
Cheng Deng
Bo An
Haifeng Zhang
Xu Chen
Jun Wang
41
0
0
30 Apr 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Mohamad Abdul Hady
Siyi Hu
Mahardhika Pratama
Jimmy Cao
Ryszard Kowalczyk
29
0
0
29 Apr 2025
Causal Mean Field Multi-Agent Reinforcement Learning
Causal Mean Field Multi-Agent Reinforcement Learning
Hao Ma
Zhiqiang Pu
Yi Pan
Boyin Liu
Junlong Gao
Zhenyu Guo
83
0
0
20 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
78
0
0
02 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
83
1
0
01 Dec 2024
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
51
0
0
07 Oct 2024
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
Junjie Chen
Xiangheng He
Yusuke Miyao
Danushka Bollegala
43
0
0
03 Oct 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
41
1
0
21 Aug 2024
No Algorithmic Collusion in Two-Player Blindfolded Game with Thompson
  Sampling
No Algorithmic Collusion in Two-Player Blindfolded Game with Thompson Sampling
Ningyuan Chen
Xuefeng Gao
Yi Xiong
52
0
0
23 May 2024
Graphon Mean Field Games with a Representative Player: Analysis and
  Learning Algorithm
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
Fuzhong Zhou
Chenyu Zhang
Xu Chen
Xuan Di
43
2
0
08 May 2024
Spatially Randomized Designs Can Enhance Policy Evaluation
Spatially Randomized Designs Can Enhance Policy Evaluation
Ying Yang
Chengchun Shi
Fang Yao
Shouyang Wang
Hongtu Zhu
OffRL
43
0
0
18 Mar 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
Mathieu Laurière
Tamer Basar
39
3
0
17 Mar 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
36
3
0
30 Dec 2023
Bayesian inference for data-efficient, explainable, and safe robotic
  motion planning: A review
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
40
3
0
16 Jul 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
49
2
0
05 Jun 2023
Local Optimization Achieves Global Optimality in Multi-Agent
  Reinforcement Learning
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao
Zhuoran Yang
Zhaoran Wang
Jason D. Lee
45
3
0
08 May 2023
Graph Exploration for Effective Multi-agent Q-Learning
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan
Ali H. Sayed
37
1
0
19 Apr 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep
  Reinforcement Learning
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning
Woojun Kim
Young-Jin Sung
32
7
0
02 Mar 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent
  Adversarial Communication
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication
Nancirose Piazza
Vahid Behzadan
AAML
27
7
0
14 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to
  Cooperative Multi-Agent Reinforcement Learning
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk
Seyed Alireza Bakhtiari
Johannes Kirschner
Matej Jusup
Ilija Bogunovic
Csaba Szepesvári
32
5
0
08 Feb 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory
  Management
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Chuheng Zhang
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
35
16
0
15 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
33
84
0
14 Dec 2022
Global Convergence of Localized Policy Iteration in Networked
  Multi-Agent Reinforcement Learning
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning
Yizhou Zhang
Guannan Qu
Pan Xu
Yiheng Lin
Zaiwei Chen
Adam Wierman
42
26
0
30 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications
A Survey on Reinforcement Learning in Aviation Applications
Pouria Razzaghi
Amin Tabrizian
Wei Guo
Shulu Chen
Abenezer Taye
Ellis E. Thompson
Alexis Bregeon
Ali Baheri
Peng Wei
OffRL
23
52
0
03 Nov 2022
A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
35
14
0
26 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
35
0
0
24 Oct 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
39
22
0
22 Oct 2022
LEMURS: Learning Distributed Multi-Robot Interactions
LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
76
8
0
20 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 Control
Kai Cui
Mengguang Li
Christian Fabian
Heinz Koeppl
AI4CE
47
5
0
15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement
  Learning
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
Yuanquan Hu
Xiaoli Wei
Jun Yan
Heng-Wei Zhang
42
8
0
11 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
26
19
0
17 Aug 2022
NVIF: Neighboring Variational Information Flow for Large-Scale
  Cooperative Multi-Agent Scenarios
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Jiajun Chai
Yuanheng Zhu
Dongbin Zhao
28
0
0
03 Jul 2022
Universally Expressive Communication in Multi-Agent Reinforcement
  Learning
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris
Thomas D. Barrett
Arnu Pretorius
24
4
0
14 Jun 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
35
24
0
15 May 2022
Graphical Games for UAV Swarm Control Under Time-Varying Communication
  Networks
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks
Malintha Fernando
Ransalu Senanayake
A. Azad
Martin Swany
27
0
0
04 May 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Yuan Tian
Klaus-Rudolf Kladny
Qin Wang
Zhiwu Huang
Olga Fink
AI4CE
26
7
0
12 Apr 2022
Multi-Agent Distributed Reinforcement Learning for Making Decentralized
  Offloading Decisions
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions
Jing Tan
R. Khalili
Holger Karl
A. Hecker
OffRL
19
20
0
05 Apr 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility
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
38
33
0
15 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
31
8
0
06 Mar 2022
The Dynamics of Q-learning in Population Games: a Physics-Inspired
  Continuity Equation Model
The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model
Shuyue Hu
Chin-wing Leung
Ho-fung Leung
Harold Soh
30
4
0
03 Mar 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and
  Deep Reinforcement Learning
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Marco Skocaj
Lorenzo Mario Amorosa
G. Ghinamo
Giuliano Muratore
Davide Micheli
F. Zabini
Roberto Verdone
21
13
0
22 Feb 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation
  in Two-sided Markets
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
C. Shi
Runzhe Wan
Ge Song
Shuang Luo
R. Song
Hongtu Zhu
OffRL
41
6
0
21 Feb 2022
Cooperative Multi-Agent Reinforcement Learning with Hypergraph
  Convolution
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution
Yunru Bai
Chen Gong
Bin Zhang
Guoliang Fan
Xinwen Hou
Yu Liu
27
6
0
09 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
27
5
0
07 Dec 2021
Adversarial Attacks in Cooperative AI
Adversarial Attacks in Cooperative AI
Ted Fujimoto
Arthur Paul Pedersen
AAML
27
2
0
29 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
59
0
26 Oct 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Maxime Bouton
Hasan Farooq
Julien Forgeat
Shruti Bothe
Meral Shirazipour
P. Karlsson
28
11
0
30 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
43
232
0
26 Sep 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent
  Reinforcement Learning
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano
Patrick Rebeschini
40
5
0
23 Sep 2021
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