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  4. Cited By
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning

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
ArXivPDFHTML

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

50 / 747 papers shown
Title
An Analysis of Multi-Agent Reinforcement Learning for Decentralized
  Inventory Control Systems
An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Marwan Mousa
Damien van de Berg
Niki Kotecha
Ehecatl Antonio del Rio Chanona
M. Mowbray
15
13
0
21 Jul 2023
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent
  Reinforcement Learning
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning
Xiufeng Huang
Sheng Zhou
13
1
0
18 Jul 2023
Optimal Symmetric Strategies in Multi-Agent Systems with Decentralized
  Information
Optimal Symmetric Strategies in Multi-Agent Systems with Decentralized Information
Sagar Sudhakara
A. Nayyar
14
1
0
14 Jul 2023
Learning Multiple Coordinated Agents under Directed Acyclic Graph
  Constraints
Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
Jaeyeon Jang
Diego Klabjan
Han Liu
Nital S. Patel
Xiuqi Li
Balakrishnan Ananthanarayanan
Husam Dauod
Tzung-Han Juang
15
1
0
13 Jul 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions
Shanqi Liu
Weiwei Liu
Wenzhou Chen
Guanzhong Tian
Y. Liu
25
0
0
05 Jul 2023
Emergent Resource Exchange and Tolerated Theft Behavior using
  Multi-Agent Reinforcement Learning
Emergent Resource Exchange and Tolerated Theft Behavior using Multi-Agent Reinforcement Learning
Jack Garbus
Jordan Pollack
14
0
0
04 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
20
7
0
04 Jul 2023
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent
  Reinforcement Learning
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
Xiao Hu
P. Guo
Chuanwei Zhou
Tong Zhang
Zhen Cui
27
0
0
24 Jun 2023
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
22
3
0
22 Jun 2023
Discovering Causality for Efficient Cooperation in Multi-Agent
  Environments
Discovering Causality for Efficient Cooperation in Multi-Agent Environments
Rafael Pina
V. D. Silva
Corentin Artaud
28
2
0
20 Jun 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure
  Management Planning via MARL
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Pascal Leroy
P. G. Morato
J. Pisane
A. Kolios
D. Ernst
OffRL
35
9
0
20 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts
Adrien Bolland
D. Ernst
15
7
0
20 Jun 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under
  Limited Bandwidth
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth
Qingshuang Sun
Denis Steckelmacher
Y. Yao
Ann Nowé
Raphael Avalos
AI4CE
24
0
0
16 Jun 2023
Understanding the Application of Utility Theory in Robotics and
  Artificial Intelligence: A Survey
Understanding the Application of Utility Theory in Robotics and Artificial Intelligence: A Survey
Qin Yang
R. Liu
14
4
0
15 Jun 2023
Offline Multi-Agent Reinforcement Learning with Coupled Value
  Factorization
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization
Xiangsen Wang
Xianyuan Zhan
OffRL
19
5
0
15 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative
  Multi-Agent Reinforcement Learning
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
C. L. P. Chen
Kai Zhang
Chao Yu
Jianye Hao
35
1
0
14 Jun 2023
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense
  Feedback
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
Junfan Lin
Yuying Zhu
Lingbo Liu
Yang Liu
Guanbin Li
Liang Lin
32
11
0
13 Jun 2023
A Unified Framework for Factorizing Distributional Value Functions for
  Multi-Agent Reinforcement Learning
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
Wei-Fang Sun
Cheng-Kuang Lee
Simon See
Chun-Yi Lee
OffRL
11
1
0
04 Jun 2023
EMOTE: An Explainable architecture for Modelling the Other Through
  Empathy
EMOTE: An Explainable architecture for Modelling the Other Through Empathy
M. Senadeera
Thommen Karimpanal George
Sunil R. Gupta
Stephan Jacobs
Santu Rana
6
1
0
01 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache
  Locality-aware Prioritization
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni
Yongsheng Mei
Peng Wei
Tian-Shing Lan
Guru Venkataramani
16
13
0
31 May 2023
Centralised rehearsal of decentralised cooperation: Multi-agent
  reinforcement learning for the scalable coordination of residential energy
  flexibility
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
Flora Charbonnier
Bei Peng
Thomas Morstyn
Malcolm McCulloch
17
6
0
30 May 2023
Reinforcement Learning With Reward Machines in Stochastic Games
Reinforcement Learning With Reward Machines in Stochastic Games
Jueming Hu
Jean-Raphael Gaglione
Yanze Wang
Zhe Xu
Ufuk Topcu
Yongming Liu
16
1
0
27 May 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Yanhao Huang
Jie Song
28
17
0
27 May 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning
  Coordination Problem
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
20
8
0
26 May 2023
Formal Modelling for Multi-Robot Systems Under Uncertainty
Formal Modelling for Multi-Robot Systems Under Uncertainty
Charlie Street
Masoumeh Mansouri
Bruno Lacerda
21
0
0
26 May 2023
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Yang You
Vincent Thomas
F. Colas
Olivier Buffet
11
1
0
19 May 2023
Collective Large-scale Wind Farm Multivariate Power Output Control Based
  on Hierarchical Communication Multi-Agent Proximal Policy Optimization
Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization
Yubao Zhang
X. Chen
Sumei Gong
Hao-lei Chen
17
8
0
17 May 2023
More Like Real World Game Challenge for Partially Observable Multi-Agent
  Cooperation
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation
Meng Yao
Xueou Feng
Qiyue Yin
16
0
0
15 May 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in
  Multi-Agent Systems
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Bin Zhang
Hangyu Mao
Lijuan Li
Zhiwei Xu
Dapeng Li
Rui Zhao
Guoliang Fan
OffRL
31
5
0
13 May 2023
Boosting Value Decomposition via Unit-Wise Attentive State
  Representation for Cooperative Multi-Agent Reinforcement Learning
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning
Qingpeng Zhao
Yuanyang Zhu
Zichuan Liu
Zhi Wang
Chunlin Chen
OffRL
28
1
0
12 May 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
19
3
0
10 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change
Fast Teammate Adaptation in the Presence of Sudden Policy Change
Ziqian Zhang
Lei Yuan
Lihe Li
Ke Xue
Chengxing Jia
Cong Guan
Chao Qian
Yang Yu
30
8
0
10 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary
  adversarial attackers
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
24
16
0
10 May 2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement
  Learning
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
Adam Michalski
Filippos Christianos
Stefano V. Albrecht
13
3
0
09 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Latent Interactive A2C for Improved RL in Open Many-Agent Systems
Keyang He
Prashant Doshi
Bikramjit Banerjee
OffRL
23
3
0
09 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
44
10
0
09 May 2023
Multi-agent Continual Coordination via Progressive Task
  Contextualization
Multi-agent Continual Coordination via Progressive Task Contextualization
Lei Yuan
Lihe Li
Ziqian Zhang
Fuxiang Zhang
Cong Guan
Yang Yu
CLL
31
7
0
07 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
34
2
0
07 May 2023
On the Optimality, Stability, and Feasibility of Control Barrier
  Functions: An Adaptive Learning-Based Approach
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
A. Chriat
Chuangchuang Sun
24
4
0
05 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement
  Learning in Healthcare
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
48
37
0
02 May 2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for
  Cooperative MARL
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL
Dapeng Li
Zhiwei Xu
Bin Zhang
Guoliang Fan
44
7
0
28 Apr 2023
N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable
  Multi-Agent Q-Learning
NA2\text{A}^\text{2}A2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu
Yuanyang Zhu
Chunlin Chen
45
10
0
26 Apr 2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based
  on Graph-Attention
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Min Yang
Guanjun Liu
Ziyuan Zhou
21
12
0
25 Apr 2023
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement
  Learning
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Dapeng Li
Zhiwei Xu
Bin Zhang
Guoliang Fan
3DPC
20
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
32
6
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
12
9
0
20 Apr 2023
Heterogeneous-Agent Reinforcement Learning
Heterogeneous-Agent Reinforcement Learning
Yifan Zhong
J. Kuba
Xidong Feng
Siyi Hu
Jiaming Ji
Yaodong Yang
18
36
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
16
0
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
17
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
11
28
0
03 Apr 2023
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