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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
v1v2 (latest)

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

30 March 2018
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
ArXiv (abs)PDFHTML

Papers citing "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

50 / 753 papers shown
Title
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum
  Markov Game
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game
Guangzheng Hu
Yuanheng Zhu
Haoran Li
Dongbin Zhao
38
5
0
01 Feb 2024
Fully Independent Communication in Multi-Agent Reinforcement Learning
Fully Independent Communication in Multi-Agent Reinforcement Learning
Rafael Pina
V. D. Silva
Corentin Artaud
Xiaolan Liu
60
5
0
26 Jan 2024
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Mikayel Samvelyan
Davide Paglieri
Minqi Jiang
Jack Parker-Holder
Tim Rocktaschel
AAML
99
4
0
24 Jan 2024
Generalization of Heterogeneous Multi-Robot Policies via Awareness and
  Communication of Capabilities
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Pierce Howell
Max Rudolph
R. Torbati
Kevin Fu
Harish Ravichandar
56
6
0
23 Jan 2024
Multi-agent deep reinforcement learning with centralized training and
  decentralized execution for transportation infrastructure management
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
M. Saifullah
K. G. Papakonstantinou
C. Andriotis
S. M. Stoffels
AI4CE
101
2
0
23 Jan 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV)
  Trajectory Design for 3D UAV Tracking
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu
Ming Chen
Sihua Wang
Ye Hu
Yuchen Liu
Changchuan Yin
45
6
0
22 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A
  Comprehensive Survey on Hybrid Algorithms
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
121
13
0
22 Jan 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective
  Engagement and Evidence-Driven Integration
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
Chuxiong Sun
Zehua Zang
Jiabao Li
Jiangmeng Li
Xiao Xu
Rui Wang
Changwen Zheng
56
10
0
19 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable
  Markov Decision Processes
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland
Giovanni Montana
93
4
0
16 Jan 2024
CycLight: learning traffic signal cooperation with a cycle-level
  strategy
CycLight: learning traffic signal cooperation with a cycle-level strategy
Gengyue Han
Xiaohan Liu
Xianyue Peng
Hao Wang
Yu Han
74
6
0
16 Jan 2024
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Thomy Phan
Joseph Driscoll
Justin Romberg
Sven Koenig
52
3
0
11 Jan 2024
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A
  Survey
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
96
3
0
10 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
94
9
0
30 Dec 2023
ConcaveQ: Non-Monotonic Value Function Factorization via Concave
  Representations in Deep Multi-Agent Reinforcement Learning
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li
Hanhan Zhou
Yifei Zou
Dongxiao Yu
Tian-Shing Lan
45
8
0
24 Dec 2023
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent
  Reinforcement Learning
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba
Xuan Liu
Xinning Chen
Hao Wang
Yang Xu
Kenli Li
Shigeng Zhang
55
2
0
19 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
77
10
0
18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
82
10
0
15 Dec 2023
Situation-Dependent Causal Influence-Based Cooperative Multi-agent
  Reinforcement Learning
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning
Xiao Du
Yutong Ye
Peng Zhang
Yaning Yang
Mingsong Chen
Ting Wang
56
4
0
15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative
  MARL
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
Wiem Khlifi
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Abidine Vall
R. Gorsane
Arnu Pretorius
112
1
0
13 Dec 2023
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub
Ruan de Kock
Siddarth S. Singh
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
FAtt
85
2
0
13 Dec 2023
How much can change in a year? Revisiting Evaluation in Multi-Agent
  Reinforcement Learning
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
106
1
0
13 Dec 2023
A Review of Cooperation in Multi-agent Learning
A Review of Cooperation in Multi-agent Learning
Yali Du
Joel Z Leibo
Usman Islam
Richard Willis
P. Sunehag
107
34
0
08 Dec 2023
Mastering Complex Coordination through Attention-based Dynamic Graph
Mastering Complex Coordination through Attention-based Dynamic Graph
Guangchong Zhou
Zhiwei Xu
Zeren Zhang
Guoliang Fan
GNN
87
0
0
07 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
81
15
0
03 Dec 2023
Learning to Cooperate and Communicate Over Imperfect Channels
Learning to Cooperate and Communicate Over Imperfect Channels
Jannis Weil
Gizem Ekinci
Heinz Koeppl
Tobias Meuser
62
0
0
24 Nov 2023
Enhancing Multi-Agent Coordination through Common Operating Picture
  Integration
Enhancing Multi-Agent Coordination through Common Operating Picture Integration
Peihong Yu
Bhoram Lee
Aswin Raghavan
S. Samarasekera
Pratap Tokekar
James Zachary Hare
55
1
0
08 Nov 2023
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent
  Competition with Specialization and Trade
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
Enhong Liu
Joseph Suárez
Chenhui You
Bo Wu
Bingcheng Chen
...
Yuejia Huang
Kun Zhang
Hanhui Yang
Shi-bao Tang
Phillip Isola
25
0
0
07 Nov 2023
A Brain-inspired Theory of Collective Mind Model for Efficient Social
  Cooperation
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation
Zhuoya Zhao
Feifei Zhao
Shiwen Wang
Yinqian Sun
Yi Zeng
78
3
0
06 Nov 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline
  Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODDOffRL
70
5
0
03 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
60
13
0
03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement
  Learning
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
M. Gerstgrasser
Tom Danino
Sarah Keren
77
7
0
01 Nov 2023
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning
  Algorithm considering Peak and Average Constraints
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
Raheeb Hassan
K. M. S. Wadith
Md. Mamun-or Rashid
Md. Mosaddek Khan
71
2
0
22 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
82
2
0
15 Oct 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information
  Regularization
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
Simin Li
Ruixiao Xu
Jingqiao Xiu
Yuwei Zheng
Pu Feng
Yaodong Yang
Xianglong Liu
81
2
0
15 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
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90
1
0
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Measuring Acoustics with Collaborative Multiple Agents
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Yinfeng Yu
Changan Chen
Lele Cao
Fangkai Yang
Gang Hua
79
1
0
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FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation
  with Parameter-Sharing Versatility
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility
Lang Feng
Dong Xing
Junru Zhang
Gang Pan
49
1
0
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Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed
  Cooperative-Competitive Games
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu
Yancheng Liang
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Yu Wang
Yi Wu
93
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0
05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
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Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
Homayoun Najjaran
73
11
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Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via
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Alexey Skrynnik
Anton Andreychuk
Maria Nesterova
Konstantin Yakovlev
Aleksandr I. Panov
97
23
0
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Boosting Studies of Multi-Agent Reinforcement Learning on Google
  Research Football Environment: the Past, Present, and Future
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
58
8
0
22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao
Yun Qu
Chen Chen
Hongchang Zhang
Xiangyang Ji
OffRL
87
22
0
22 Sep 2023
Learning to Coordinate with Anyone
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Lei Yuan
Lihe Li
Ziqian Zhang
F. Chen
Tianyi Zhang
Cong Guan
Yang Yu
Zhi Zhou
LLMAG
107
5
0
22 Sep 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent
  Reinforcement Learning
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
Zhizun Wang
David Meger
DRL
50
2
0
08 Sep 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
61
2
0
28 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent
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Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
60
4
0
25 Aug 2023
ProAgent: Building Proactive Cooperative Agents with Large Language
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ProAgent: Building Proactive Cooperative Agents with Large Language Models
Ceyao Zhang
Kaijie Yang
Siyi Hu
Zihao Wang
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Xiaojun Chang
Junge Zhang
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Yaodong Yang
LM&RoLLMAG
117
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FoX: Formation-aware exploration in multi-agent reinforcement learning
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Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing
  in Disaster Response
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Chunyu Tu
Zhiwen Yu
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