Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1803.11485
Cited By
v1
v2 (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
Re-assign community
ArXiv (abs)
PDF
HTML
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
Guangzheng Hu
Yuanheng Zhu
Haoran Li
Dongbin Zhao
38
5
0
01 Feb 2024
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
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
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
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
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
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
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
David Ireland
Giovanni Montana
93
4
0
16 Jan 2024
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
Thomy Phan
Joseph Driscoll
Justin Romberg
Sven Koenig
52
3
0
11 Jan 2024
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
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
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
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
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
Dom Huh
Prasant Mohapatra
AI4CE
82
10
0
15 Dec 2023
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
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
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
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
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
Guangchong Zhou
Zhiwei Xu
Zeren Zhang
Guoliang Fan
GNN
87
0
0
07 Dec 2023
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
Jannis Weil
Gizem Ekinci
Heinz Koeppl
Tobias Meuser
62
0
0
24 Nov 2023
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
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
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
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODD
OffRL
70
5
0
03 Nov 2023
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
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
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
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
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
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
90
1
0
11 Oct 2023
Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu
Changan Chen
Lele Cao
Fangkai Yang
Gang Hua
79
1
0
09 Oct 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility
Lang Feng
Dong Xing
Junru Zhang
Gang Pan
49
1
0
08 Oct 2023
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu
Yancheng Liang
Chao Yu
Yu Wang
Yi Wu
93
9
0
05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
Homayoun Najjaran
73
11
0
04 Oct 2023
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning
Alexey Skrynnik
Anton Andreychuk
Maria Nesterova
Konstantin Yakovlev
Aleksandr I. Panov
97
23
0
02 Oct 2023
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
Jianzhun Shao
Yun Qu
Chen Chen
Hongchang Zhang
Xiangyang Ji
OffRL
87
22
0
22 Sep 2023
Learning to Coordinate with Anyone
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
Zhizun Wang
David Meger
DRL
50
2
0
08 Sep 2023
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 Reinforcement Learning
Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
60
4
0
25 Aug 2023
ProAgent: Building Proactive Cooperative Agents with Large Language Models
Ceyao Zhang
Kaijie Yang
Siyi Hu
Zihao Wang
Guanghe Li
...
Xiaojun Chang
Junge Zhang
Feng Yin
Yitao Liang
Yaodong Yang
LM&Ro
LLMAG
117
83
0
22 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
75
7
0
22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han
Chunyu Tu
Zhiwen Yu
Zhiyong Yu
Weihua Shan
Liang Wang
Bin Guo
58
3
0
21 Aug 2023
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
Yi Hu
Jinhang Zuo
Bob Iannucci
Carlee Joe-Wong
54
2
0
19 Aug 2023
Previous
1
2
3
4
5
6
...
14
15
16
Next