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QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

14 May 2019
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
    OffRL
ArXiv (abs)PDFHTML

Papers citing "QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning"

50 / 370 papers shown
Title
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline
  Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODDOffRL
70
5
0
03 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
62
13
0
03 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
68
0
0
01 Nov 2023
Impact of Relational Networks in Multi-Agent Learning: A Value-Based
  Factorization View
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
62
7
0
19 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational
  Network Perspective
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
69
5
0
19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen
  Malfunctions in Multi-Robot Teams
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
68
2
0
19 Oct 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation
  with Parameter-Sharing Versatility
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility
Lang Feng
Dong Xing
Junru Zhang
Gang Pan
51
1
0
08 Oct 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google
  Research Football Environment: the Past, Present, and Future
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
60
8
0
22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao
Yun Qu
Chen Chen
Hongchang Zhang
Xiangyang Ji
OffRL
87
22
0
22 Sep 2023
Privacy-Engineered Value Decomposition Networks for Cooperative
  Multi-Agent Reinforcement Learning
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning
Parham Gohari
Matthew T. Hale
Ufuk Topcu
OffRL
98
1
0
13 Sep 2023
Dynamic Handover: Throw and Catch with Bimanual Hands
Dynamic Handover: Throw and Catch with Bimanual Hands
Binghao Huang
Yuanpei Chen
Tianyu Wang
Yuzhe Qin
Yaodong Yang
Nikolay Atanasov
Xiaolong Wang
57
39
0
11 Sep 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent
  Reinforcement Learning
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
Zhizun Wang
David Meger
DRL
53
2
0
08 Sep 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
61
2
0
28 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
77
7
0
22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing
  in Disaster Response
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han
Chunyu Tu
Zhiwen Yu
Zhiyong Yu
Weihua Shan
Liang Wang
Bin Guo
58
3
0
21 Aug 2023
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping
  Environment
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment
Hao Zhang
Jiaming Chen
Jiyu Cheng
Yibin Li
Simon X. Yang
Wei Zhang
107
6
0
17 Aug 2023
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning
  Techniques for Multi-Agent Pathfinding
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
Jaeho Chung
Jamil Fayyad
Younes Al Younes
Homayoun Najjaran
80
17
0
11 Aug 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
OffRL
95
26
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
120
1
0
18 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
79
0
0
05 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
57
1
0
24 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
73
4
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
102
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
70
8
0
20 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
74
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
Chong Chen
Kai Zhang
Chao Yu
Jianye Hao
84
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
64
12
0
13 Jun 2023
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory
  Management
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
Xianliang Yang
Zhihao Liu
Wei Jiang
Wei Shen
Li Zhao
Lei Song
Jiang Bian
62
13
0
13 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State
  Perturbations on Critical Agents
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Ziyuan Zhou
Guanjun Liu
AAML
84
9
0
09 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
86
2
0
04 Jun 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
Jie Song
Mingli Song
78
20
0
27 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
47
1
0
19 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
88
6
0
18 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
120
22
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
93
0
0
15 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
65
1
0
12 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
89
9
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
88
18
0
10 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
60
1
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
83
8
0
07 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
105
40
0
02 May 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
82
12
0
26 Apr 2023
STAS: Spatial-Temporal Return Decomposition for Multi-agent
  Reinforcement Learning
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning
Sirui Chen
Zhaowei Zhang
Yaodong Yang
Yali Du
87
5
0
15 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
56
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
Regularization of the policy updates for stabilizing Mean Field Games
Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei
Rubén Solozabal
Réda Alami
Hakim Hacid
Merouane Debbah
Martin Takáč
OffRL
79
5
0
04 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
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
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
101
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
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