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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
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent
  Learning
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
D. Mguni
Taher Jafferjee
Jianhong Wang
Oliver Slumbers
Nicolas Perez Nieves
Feifei Tong
Yang Li
Jiangcheng Zhu
Yaodong Yang
Jun Wang
45
18
0
05 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest
Multi-Agent Intention Sharing via Leader-Follower Forest
Zeyang Liu
Lipeng Wang
Xuefeng Sui
Kewu Sun
Xuguang Lan
37
3
0
02 Dec 2021
Conditional Expectation based Value Decomposition for Scalable On-Demand
  Ride Pooling
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling
Avinandan Bose
Pradeep Varakantham
24
3
0
01 Dec 2021
Learning Long-Term Reward Redistribution via Randomized Return
  Decomposition
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren
Ruihan Guo
Yuanshuo Zhou
Jian-wei Peng
24
35
0
26 Nov 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning
Off-Policy Correction For Multi-Agent Reinforcement Learning
Michał Zawalski
Bla.zej Osiñski
Henryk Michalewski
Piotr Milo's
OffRL
32
2
0
22 Nov 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement
  Learning with Actor Rectification
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
L. Pan
Longbo Huang
Tengyu Ma
Huazhe Xu
OffRL
OnRL
37
51
0
22 Nov 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven
  Exploration
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
Lu Zheng
Jiarui Chen
Jianhao Wang
Jiamin He
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
Chongjie Zhang
16
82
0
22 Nov 2021
Calculus of Consent via MARL: Legitimating the Collaborative Governance
  Supplying Public Goods
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods
Yang Hu
Zhu Zhu
Sirui Song
Xue Liu
Yang Yu
17
0
0
20 Nov 2021
Cooperative multi-agent reinforcement learning for high-dimensional
  nonequilibrium control
Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control
Shriram Chennakesavalu
Grant M. Rotskoff
16
1
0
12 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Collaboration Promotes Group Resilience in Multi-Agent AI
Collaboration Promotes Group Resilience in Multi-Agent AI
Sarah Keren
M. Gerstgrasser
Ofir Abu
J. Rosenschein
11
0
0
12 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
24
33
0
10 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent
  Reinforcement Learning
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Zhaoxing Yang
Rong Ding
Haiming Jin
Yifei Wei
Haoyi You
Guiyun Fan
Xiaoying Gan
Xinbing Wang
40
4
0
10 Nov 2021
Coordinated Proximal Policy Optimization
Coordinated Proximal Policy Optimization
Zifan Wu
Chao Yu
Deheng Ye
Junge Zhang
Haiyin Piao
H. Zhuo
13
45
0
07 Nov 2021
Investigation of Independent Reinforcement Learning Algorithms in
  Multi-Agent Environments
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
Ken Ming Lee
Sriram Ganapathi Subramanian
Mark Crowley
25
8
0
01 Nov 2021
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
Kuo Li
Qing-Shan Jia
OffRL
11
2
0
31 Oct 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for
  Multiagent RL
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin
Qinghua Liu
Yuanhao Wang
Tiancheng Yu
OffRL
26
130
0
27 Oct 2021
Reinforcement Learning in Factored Action Spaces using Tensor
  Decompositions
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
27
9
0
27 Oct 2021
Model based Multi-agent Reinforcement Learning with Tensor
  Decompositions
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
31
8
0
27 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
59
0
26 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning
  via Randomized Linear Programming
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
37
4
0
22 Oct 2021
State-based Episodic Memory for Multi-Agent Reinforcement Learning
State-based Episodic Memory for Multi-Agent Reinforcement Learning
Xiao Ma
Wu-Jun Li
21
8
0
19 Oct 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement
  Learning
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning
Yuchen Xiao
Xueguang Lyu
Chris Amato
19
9
0
16 Oct 2021
Learning Cooperation and Online Planning Through Simulation and Graph
  Convolutional Network
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network
Rafid Ameer Mahmud
Fahim Faisal
Saaduddin Mahmud
Md.Mosaddek Khan
10
1
0
16 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
67
0
15 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Siyang Wu
Tonghan Wang
Chenghao Li
Yang Hu
Chongjie Zhang
OffRL
29
1
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Huazhong Yang
Yu Wang
Yi Wu
26
29
0
12 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent
  Reinforcement Learning
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao
Lin F. Yang
Kaipeng Zhang
Tamer Bacsar
43
57
0
12 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated
  Actor-Critic Algorithm and Finite-Time Guarantees
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng
Tianyi Chen
Alfredo García
Mingyi Hong
42
11
0
11 Oct 2021
Cooperative Assistance in Robotic Surgery through Multi-Agent
  Reinforcement Learning
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning
Paul Maria Scheikl
B. Gyenes
Tornike Davitashvili
Rayan Younis
A. Schulze
Beat P. Müller-Stich
Gerhard Neumann
M. Wagner
F. Mathis-Ullrich
24
12
0
10 Oct 2021
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Patrick Phillips
21
4
0
10 Oct 2021
TiKick: Towards Playing Multi-agent Football Full Games from
  Single-agent Demonstrations
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang
Wenze Chen
Longfei Zhang
Shizhen Xu
Ziyang Li
Fengming Zhu
Deheng Ye
Tingling Chen
Jun Zhu
OffRL
45
25
0
09 Oct 2021
Multi-Agent Constrained Policy Optimisation
Multi-Agent Constrained Policy Optimisation
Shangding Gu
J. Kuba
Munning Wen
Ruiqing Chen
Ziyan Wang
Zheng Tian
Jun Wang
Alois Knoll
Yaodong Yang
98
49
0
06 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
46
25
0
01 Oct 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Maxime Bouton
Hasan Farooq
Julien Forgeat
Shruti Bothe
Meral Shirazipour
P. Karlsson
28
11
0
30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
62
55
0
28 Sep 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of
  Teammates
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
Jiahan Cao
Lei Yuan
Jianhao Wang
Shaowei Zhang
Chongjie Zhang
Yang Yu
De-Chuan Zhan
34
19
0
26 Sep 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent
  Reinforcement Learning
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano
Patrick Rebeschini
40
5
0
23 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
44
231
0
23 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for
  Cooperative Multi-Agent Reinforcement Learning
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
Roy Zohar
Shie Mannor
Guy Tennenholtz
32
8
0
22 Sep 2021
Learning Multi-agent Action Coordination via Electing First-move Agent
Learning Multi-agent Action Coordination via Electing First-move Agent
Jingqing Ruan
Linghui Meng
Xuantang Xiong
Dengpeng Xing
Bo Xu
31
2
0
20 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without
  Explicit Centralized Structures
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
Chapman Siu
Jason M. Traish
R. Xu
OffRL
11
0
0
19 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu
Jason M. Traish
R. Xu
33
2
0
19 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
38
93
0
14 Sep 2021
DSDF: An approach to handle stochastic agents in collaborative
  multi-agent reinforcement learning
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning
S. K. Perepu
Kaushik Dey
19
0
0
14 Sep 2021
Deep hierarchical reinforcement agents for automated penetration testing
Deep hierarchical reinforcement agents for automated penetration testing
Khuong Tran
Ashlesha Akella
Maxwell Standen
Junae Kim
David Bowman
Toby J. Richer
Chin-Teng Lin Institution One
46
38
0
14 Sep 2021
Learning Selective Communication for Multi-Agent Path Finding
Learning Selective Communication for Multi-Agent Path Finding
Ziyuan Ma
Yudong Luo
Jia Pan
AI4CE
39
48
0
12 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent
  Reinforcement Learning (MARL) using Mean Field Control (MFC)
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
33
43
0
09 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially
  Observable Environments
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
Zhenhui Ye
Xiaohong Jiang
Guang-hua Song
Bowei Yang
33
1
0
05 Sep 2021
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