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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
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Best Possible Q-Learning
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Zongqing Lu
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Diversity Through Exclusion (DTE): Niche Identification for
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Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z Leibo
61
2
0
02 Feb 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent
  Reinforcement Learning
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Claude Formanek
Asad Jeewa
Jonathan P. Shock
Arnu Pretorius
OffRL
115
2
0
01 Feb 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in
  Multi-Agent Reinforcement Learning
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Xu Hu
Jian Zhao
Wen-gang Zhou
Ruili Feng
Houqiang Li
62
1
0
25 Jan 2023
Differential Privacy in Cooperative Multiagent Planning
Differential Privacy in Cooperative Multiagent Planning
Bo Chen
C. Hawkins
Mustafa O. Karabag
Cyrus Neary
Matthew T. Hale
Ufuk Topcu
79
8
0
20 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna
  Tuning
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Maxime Bouton
Jaeseong Jeong
José Outes Carnero
Adriano Mendo
Alexandros Nikou
70
2
0
20 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
83
43
0
17 Jan 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI
  Coordination
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Xingzhou Lou
Jiaxian Guo
Junge Zhang
Jun Wang
Kaiqi Huang
Yali Du
70
29
0
16 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
71
1
0
14 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement
  Learning in Presence of a Non-decomposable Shared Global State
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
79
8
0
13 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of
  Multi-Agent Reinforcement Learning Problems
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems
Matteo Gallici
Mario Martin
Ivan Masmitja
OffRL
26
10
0
13 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Zongwei Liu
Yonghong Song
Yuanlin Zhang
OffRL
77
3
0
10 Jan 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
96
5
0
05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via
  Transformer-Based Email Mechanism
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Xudong Guo
Daming Shi
Wenhui Fan
63
6
0
05 Jan 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under
  Stochastic Partial Observability
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Nusslein
Michael Kolle
Thomas Gabor
Claudia Linnhoff-Popien
117
12
0
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Emergent collective intelligence from massive-agent cooperation and
  competition
Emergent collective intelligence from massive-agent cooperation and competition
H. Chen
Stone Tao
Jiaxin Chen
Weihan Shen
Xihui Li
Chenghui Yu
Sikai Cheng
Xiaolong Zhu
Xiu Li
32
4
0
04 Jan 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected
  Multi-Robot Coordination in Smart Factory Management
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management
Won Joon Yun
Jae Pyoung Kim
Soyi Jung
Jae-Hyun Kim
Joongheon Kim
OffRL
106
36
0
04 Jan 2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability
  Optimization in the Metaverse over Wireless Communications
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
Wen-li Yu
Terence Jie Chua
Jun Zhao
OffRL
79
23
0
30 Dec 2022
On Transforming Reinforcement Learning by Transformer: The Development
  Trajectory
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya Zhang
Yixin Chen
Dacheng Tao
OffRL
148
30
0
29 Dec 2022
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Ju-Bong Kim
Ho-bin Choi
Youn-Hee Han
119
4
0
27 Dec 2022
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
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement
  Learning
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
111
5
0
22 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey
Semantics-Empowered Communication: A Tutorial-cum-Survey
Zhilin Lu
Rongpeng Li
Kun Lu
Xianfu Chen
Ekram Hossain
Zhifeng Zhao
Honggang Zhang
121
19
0
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Multi-Agent Reinforcement Learning with Shared Resources for Inventory
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Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Wei Shen
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
71
16
0
15 Dec 2022
Adaptive Multi-Agent Continuous Learning System
Adaptive Multi-Agent Continuous Learning System
Xingyu Qian
Aximu Yuemaier
Longfei Liang
Wen-Chi Yang
Xiaogang Chen
Shunfen Li
Weibang Dai
Zhitang Song
39
0
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
135
94
0
14 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement
  Learning
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
M. Ibrahim
Ammar Fayad
64
1
0
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Where to go: Agent Guidance with Deep Reinforcement Learning in A
  City-Scale Online Ride-Hailing Service
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service
Jiyao Li
V. Allan
26
2
0
12 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Kiran Ravish
79
7
0
10 Dec 2022
Scalable Planning and Learning Framework Development for Swarm-to-Swarm
  Engagement Problems
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems
Umut Demir
A. S. Satir
Gülay Goktas
Cansu Yikilmaz
N. K. Üre
31
1
0
06 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
75
1
0
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A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV
  Air-to-Air Combat
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
Jiajun Chai
Wenzhang Chen
Yuanheng Zhu
Zonggui Yao
Dongbin Zhao
BDL
63
38
0
05 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel
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E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
86
7
0
05 Dec 2022
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
73
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0
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Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
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Bin Liang
Liangsheng Wang
OffRL
76
13
0
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ACE: Cooperative Multi-agent Q-learning with Bidirectional
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ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
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Yinmin Zhang
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Yaodong Yang
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Wanli Ouyang
89
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0
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CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action
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68
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0
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Learning from Good Trajectories in Offline Multi-Agent Reinforcement
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Furui Liu
Baoxiang Wang
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75
11
0
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Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
S. Rezaei-Shoshtari
Charlotte Morissette
F. Hogan
Gregory Dudek
David Meger
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105
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0
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A Critical Review of Traffic Signal Control and A Novel Unified View of
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A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control
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Scott Sanner
Baher Abdulhai
64
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0
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A. Vezhnevets
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...
Sukhdeep Singh
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Igor Mordatch
D. Mobbs
Joel Z Leibo
124
34
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Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Shunyu Liu
Yihe Zhou
Mingli Song
Tongya Zheng
Kaixuan Chen
Tongtian Zhu
Zunlei Feng
Mingli Song
79
23
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Greedy based Value Representation for Optimal Coordination in
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Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
97
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0
22 Nov 2022
Decision-making with Speculative Opponent Models
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Jing-rong Sun
Shuo Chen
Cong Zhang
Yining Ma
Jie Zhang
74
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0
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Value-based CTDE Methods in Symmetric Two-team Markov Game: from
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Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy
J. Pisane
D. Ernst
53
3
0
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TinyQMIX: Distributed Access Control for mMTC via Multi-agent
  Reinforcement Learning
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Tien Thanh Le
Yusheng Ji
John C. S. Lui
16
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0
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Backdoor Attacks on Multiagent Collaborative Systems
Backdoor Attacks on Multiagent Collaborative Systems
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Yue Qiu
Jie Zhang
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Credit-cognisant reinforcement learning for multi-agent cooperation
Credit-cognisant reinforcement learning for multi-agent cooperation
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M. I. J. C. Schoeman
23
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Coordination for Connected and Automated Vehicles at Non-signalized
  Intersections: A Value Decomposition-based Multiagent Deep Reinforcement
  Learning Approach
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach
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Junzhi Zhang
36
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X. Ai
Jianqiang Yi
Tenghai Qiu
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43
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