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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
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement
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SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Dapeng Li
Zhiwei Xu
Bin Zhang
Guoliang Fan
3DPC
42
2
0
25 Apr 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA
  Games: A Communication Perspective
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao
Feiyu Liu
Liang Wang
Zhenjie Lian
Weixuan Wang
...
Jiawei Wang
Qiang Fu
Wei Yang
Lanxiao Huang
Wei Liu
66
7
0
23 Apr 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential
  Decision-Making in Multi-Agent Reinforcement Learning
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
Bin Zhang
Lijuan Li
Zhiwei Xu
Dapeng Li
Guoliang Fan
74
10
0
20 Apr 2023
Heterogeneous-Agent Reinforcement Learning
Heterogeneous-Agent Reinforcement Learning
Yifan Zhong
J. Kuba
Xidong Feng
Siyi Hu
Jiaming Ji
Yaodong Yang
84
47
0
19 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient
  Multi-Agent Reinforcement Learning
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
54
1
0
12 Apr 2023
Multi-agent Policy Reciprocity with Theoretical Guarantee
Multi-agent Policy Reciprocity with Theoretical Guarantee
Haozhi Wang
Yinchuan Li
Qing Wang
Yunfeng Shao
Jianye Hao
58
0
0
12 Apr 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural
  Information Principles
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
64
31
0
03 Apr 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local
  Models in Model-Based Multi-Agent Reinforcement Learning
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
Zifan Wu
Chao Yu
Chong Chen
Jianye Hao
H. Zhuo
81
10
0
31 Mar 2023
The challenge of redundancy on multi-agent value factorisation
The challenge of redundancy on multi-agent value factorisation
Siddarth S. Singh
Benjamin Rosman
67
1
0
28 Mar 2023
A Hierarchical Game-Theoretic Decision-Making for Cooperative
  Multi-Agent Systems Under the Presence of Adversarial Agents
A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents
Qin Yang
Ramviyas Parasuraman
AI4CE
49
4
0
28 Mar 2023
A Survey of Machine Learning-Based Ride-Hailing Planning
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
68
4
0
26 Mar 2023
Presenting Multiagent Challenges in Team Sports Analytics
Presenting Multiagent Challenges in Team Sports Analytics
David Radke
Alexi Orchard
AI4CE
75
6
0
23 Mar 2023
Stochastic Graph Neural Network-based Value Decomposition for MARL in
  Internet of Vehicles
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Baidi Xiao
Rongpeng Li
Fei Wang
Chenghui Peng
Jianjun Wu
Zhifeng Zhao
Honggang Zhang
88
9
0
23 Mar 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for
  Cooperative and Competitive Multi-Robot Tasks
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Guangzhen Hu
Haoran Li
Shasha Liu
Mingjun Ma
Yuanheng Zhu
Dongbin Zhao
OffRL
68
6
0
22 Mar 2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement
  Learning
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Y. Lo
Christian Schroeder de Witt
Samuel Sokota
Jakob N. Foerster
Shimon Whiteson
OffRL
76
4
0
19 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
Xinyu Wang
98
0
0
16 Mar 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent
  Reinforcement Learning
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
Xutong Zhao
Yangchen Pan
Chenjun Xiao
Sarath Chandar
Janarthanan Rajendran
95
6
0
16 Mar 2023
Muti-Agent Proximal Policy Optimization For Data Freshness in
  UAV-assisted Networks
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks
M. Ndiaye
El Houcine Bergou
Hajar Elhammouti
47
7
0
15 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent
  General-Sum Games
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
Ziyi Liu
Yongchun Fang
45
1
0
14 Mar 2023
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
Hai Ci
Mickel Liu
Xuehai Pan
Fangwei Zhong
Yizhou Wang
124
13
0
07 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent
  Reinforcement Learning
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Minchan Jeong
Se-Young Yun
64
1
0
03 Mar 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent
  Reinforcement Learning
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Xiaoyang Yu
Youfang Lin
Xiangsen Wang
Sheng Han
Kai Lv
35
1
0
02 Mar 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
76
9
0
02 Mar 2023
SCRIMP: Scalable Communication for Reinforcement- and
  Imitation-Learning-Based Multi-Agent Pathfinding
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding
Yutong Wang
Bairan Xiang
Shinan Huang
Guillaume Sartoretti
101
36
0
01 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for
  Multi-Agent Reinforcement Learning
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
Woojun Kim
Whiyoung Jung
Myungsik Cho
Young-Jin Sung
53
7
0
01 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to
  Self-Interested Agents in Sequential Social Dilemmas
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Bengisu Guresti
Abdullah Vanlioglu
N. K. Üre
53
5
0
28 Feb 2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for
  Multi-Agent Learning
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
Ryan Kortvelesy
Steven D. Morad
Amanda Prorok
AI4CE
64
2
0
24 Feb 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent
  Reinforcement Learning
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
38
4
0
24 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
139
40
0
21 Feb 2023
Improving Deep Policy Gradients with Value Function Search
Improving Deep Policy Gradients with Value Function Search
Enrico Marchesini
Chris Amato
51
9
0
20 Feb 2023
Efficient Communication via Self-supervised Information Aggregation for
  Online and Offline Multi-agent Reinforcement Learning
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Cong Guan
F. Chen
Lei Yuan
Zongzhang Zhang
Yang Yu
OffRL
81
4
0
19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual
  Intrinsic Reward Mixing Network
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network
Wei Li
Weiyan Liu
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Shiyi Huang
27
3
0
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Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual
  Help
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help
Yunbo Qiu
Yue Jin
Lebin Yu
Jian Wang
Xudong Zhang
43
1
0
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Model-Based Decentralized Policy Optimization
Model-Based Decentralized Policy Optimization
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Zongqing Lu
67
0
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TiZero: Mastering Multi-Agent Football with Curriculum Learning and
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TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
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115
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0
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A Theory of Mind Approach as Test-Time Mitigation Against Emergent
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52
7
0
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Adaptive Value Decomposition with Greedy Marginal Contribution
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Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
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60
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Order Matters: Agent-by-agent Policy Optimization
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MANSA: Learning Fast and Slow in Multi-Agent Systems
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Jianhong Wang
Long Fei
Xidong Feng
Stephen Marcus McAleer
Feifei Tong
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58
2
0
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ReMIX: Regret Minimization for Monotonic Value Function Factorization in
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Improving Zero-Shot Coordination Performance Based on Policy Similarity
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Efficient Planning in Combinatorial Action Spaces with Applications to
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83
5
0
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Shared Information-Based Safe And Efficient Behavior Planning For
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Shangli Zhou
Lynn Pepin
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Fei Miao
36
1
0
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Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
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Shiyu Huang
Yiwen Sun
Yuxiang Yang
Chao Yu
Weijuan Tu
Huazhong Yang
Yu Wang
51
7
0
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Towards Skilled Population Curriculum for Multi-Agent Reinforcement
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Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
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Longtao Zheng
Wei Qiu
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Bo An
Zinovi Rabinovich
Yujing Hu
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59
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Population-size-Aware Policy Optimization for Mean-Field Games
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Xinrun Wang
Shuxin Li
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62
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0
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Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
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Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
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16
0
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Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent
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Dual Self-Awareness Value Decomposition Framework without Individual
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