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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 / 750 papers shown
Title
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
E. Kargar
Ville Kyrki
21
2
0
02 Sep 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
38
54
0
31 Aug 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated
  Agents
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents
Ammar Fayad
M. Ibrahim
22
5
0
28 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
24
58
0
19 Aug 2021
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable
  Grid Environments
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
Vasilii Davydov
Alexey Skrynnik
Konstantin Yakovlev
Aleksandr I. Panov
13
3
0
13 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative
  Reinforcement Learning
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
45
35
0
09 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual
  Multi-Agent Reinforcement Learning
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
27
15
0
06 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRL
AI4TS
20
21
0
05 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network
  Approach
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
40
36
0
05 Aug 2021
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
35
28
0
04 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
28
37
0
04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing
  Centralized Training
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
P. Sharma
Rolando Fernandez
Erin G. Zaroukian
M. Dorothy
Anjon Basak
Derrik E. Asher
13
40
0
29 Jul 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate
  Online-Scalable Solutions from Offline-Optimal Experts
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Amanda Prorok
J. Blumenkamp
Qingbiao Li
Ryan Kortvelesy
Zhe Liu
Ethan Stump
OffRL
21
5
0
26 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
42
104
0
23 Jul 2021
Adaptable Agent Populations via a Generative Model of Policies
Adaptable Agent Populations via a Generative Model of Policies
Kenneth Derek
Phillip Isola
62
16
0
15 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
58
103
0
14 Jul 2021
Centralized Model and Exploration Policy for Multi-Agent RL
Centralized Model and Exploration Policy for Multi-Agent RL
Qizhen Zhang
Chris Xiaoxuan Lu
Animesh Garg
Jakob N. Foerster
27
15
0
14 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Collaborative Visual Navigation
Collaborative Visual Navigation
Haiyang Wang
Wenguan Wang
Xizhou Zhu
Jifeng Dai
Liwei Wang
EgoV
34
20
0
02 Jul 2021
Policy Regularization via Noisy Advantage Values for Cooperative
  Multi-agent Actor-Critic methods
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods
Jian Hu
Siyue Hu
Shih-Wei Liao
17
13
0
27 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for
  Cooperative Multi-Agent Reinforcement Learning
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Yunpeng Bai
Guoliang Fan
16
11
0
22 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication
Distributed Heuristic Multi-Agent Path Finding with Communication
Ziyuan Ma
Yudong Luo
Hang Ma
23
69
0
21 Jun 2021
Towards Distraction-Robust Active Visual Tracking
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong
Peng Sun
Wenhan Luo
Tingyun Yan
Yizhou Wang
AAML
30
33
0
18 Jun 2021
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic
  Spectrum Access in Cognitive Radio Networks
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks
Xiang Tan
Li Zhou
Haijun Wang
Yuli Sun
Haitao Zhao
Boon-Chong Seet
Jibo Wei
Victor C. M. Leung
24
60
0
17 Jun 2021
A learning agent that acquires social norms from public sanctions in
  decentralized multi-agent settings
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Eugene Vinitsky
Raphael Köster
J. Agapiou
Edgar A. Duénez-Guzmán
A. Vezhnevets
Joel Z Leibo
32
37
0
16 Jun 2021
Recomposing the Reinforcement Learning Building Blocks with
  Hypernetworks
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Shai Keynan
Elad Sarafian
Sarit Kraus
OffRL
23
28
0
12 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen
Hui Chen
Yaodong Yang
Zheng Tian
Minne Li
Xu Chen
Jun Wang
38
11
0
12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in
  Online Advertising
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Chao Wen
Miao Xu
Zhilin Zhang
Zhenzhe Zheng
Yuhui Wang
...
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
Bo Zheng
29
15
0
11 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and
  Efficient Bimanual Manipulation
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
Minghao Zhang
Pingcheng Jian
Yi Wu
Huazhe Xu
Xiaolong Wang
13
9
0
10 Jun 2021
Metric Policy Representations for Opponent Modeling
Metric Policy Representations for Opponent Modeling
Haobin Jiang
Yifan Yu
Zongqing Lu
18
1
0
10 Jun 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin
Qinghua Liu
Tiancheng Yu
26
50
0
07 Jun 2021
Context-Aware Sparse Deep Coordination Graphs
Context-Aware Sparse Deep Coordination Graphs
Tonghan Wang
Liang Zeng
Weijun Dong
Qianlan Yang
Yang Yu
Chongjie Zhang
31
32
0
05 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent
  Reinforcement Learning
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
Ming Zhou
Bo Liu
Hanjing Wang
Muning Wen
Runzhe Wu
Ying Wen
Yaodong Yang
Weinan Zhang
Jun Wang
OffRL
22
46
0
05 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chengjie Wu
Qianchuan Zhao
Jun Yang
Chongjie Zhang
37
136
0
04 Jun 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit
  Assignment
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Tianze Zhou
Fubiao Zhang
Kun Shao
Kai Li
Wenhan Huang
...
Hangyu Mao
Bin Wang
Dong Li
Wulong Liu
Jianye Hao
31
16
0
01 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
22
60
0
01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
26
32
0
31 May 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang
Yuan Zhang
Yunjie Gu
Tae-Kyun Kim
OffRL
FAtt
22
19
0
31 May 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
Junyu Zhang
Amrit Singh Bedi
Mengdi Wang
Alec Koppel
15
8
0
29 May 2021
Unbiased Asymmetric Reinforcement Learning under Partial Observability
Unbiased Asymmetric Reinforcement Learning under Partial Observability
Andrea Baisero
Chris Amato
OffRL
16
19
0
25 May 2021
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent
  Reinforcement Learning
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Zijian Gao
Kele Xu
Bo Ding
Huaimin Wang
Yiying Li
Hongda Jia
160
1
0
25 May 2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic
  Communication
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
Won Joon Yun
Byungju Lim
Soyi Jung
Young-Chai Ko
Jihong Park
Joongheon Kim
M. Bennis
26
33
0
22 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural
  Architectures for Real-Time Strategy Games
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
Won Joon Yun
Sungwon Yi
Joongheon Kim
20
10
0
21 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team
  Composition
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
Bo Liu
Qiang Liu
Peter Stone
Animesh Garg
Yuke Zhu
Anima Anandkumar
41
50
0
18 May 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with
  Combinatorial Action Space
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Shuxin Li
Youzhi Zhang
Xinrun Wang
Wanqi Xue
Bo An
4
7
0
18 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
22
9
0
13 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise
  Rollouts
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
27
35
0
07 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
86
0
04 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement
  Learning
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
Changyin Sun
Lijun Sun
21
16
0
02 May 2021
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