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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
ArXivPDFHTML

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

50 / 132 papers shown
Title
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Shuai Han
Mehdi Dastani
Shihan Wang
29
0
0
13 May 2025
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL
Yuxuan Zheng
Yihe Zhou
Feiyang Xu
Mingli Song
Shunyu Liu
OffRL
29
0
0
10 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
Junkyu Lee
Tian Gao
Elliot Nelson
Miao Liu
D. Bhattacharjya
Songtao Lu
OffRL
45
0
0
30 Apr 2025
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Shahbaz P Qadri Syed
He Bai
43
0
0
29 Apr 2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Nikunj Gupta
James Zachary Hare
R. Kannan
Viktor Prasanna
GNN
76
0
0
06 Feb 2025
CORD: Generalizable Cooperation via Role Diversity
CORD: Generalizable Cooperation via Role Diversity
Kanefumi Matsuyama
Kefan Su
Jiangxing Wang
Deheng Ye
Zongqing Lu
40
0
0
04 Jan 2025
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games
Fanqi Kong
Yizhe Huang
Song-Chun Zhu
Siyuan Qi
Xue Feng
26
2
0
10 Oct 2024
Cooperative Path Planning with Asynchronous Multiagent Reinforcement
  Learning
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning
Jiaming Yin
Weixiong Rao
Yu Xiao
Keshuang Tang
16
0
0
01 Sep 2024
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Johan Peralez
Aurélien Delage
Jacopo Castellini
Rafael F. Cunha
J. Dibangoye
27
0
0
23 Aug 2024
The Bandit Whisperer: Communication Learning for Restless Bandits
The Bandit Whisperer: Communication Learning for Restless Bandits
Yunfan Zhao
Tonghan Wang
Dheeraj M. Nagaraj
Aparna Taneja
Milind Tambe
49
5
0
11 Aug 2024
Simplifying Deep Temporal Difference Learning
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
59
14
0
05 Jul 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent
  Reinforcement Learning
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
Junkai Zhang
Yifan Zhang
Xi Sheryl Zhang
Yifan Zang
Jian Cheng
36
4
0
26 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
41
1
0
30 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
29
2
0
28 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang
Junqiao Zhao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
28
0
0
13 May 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
40
0
0
15 Apr 2024
ROMA-iQSS: An Objective Alignment Approach via State-Based Value
  Learning and ROund-Robin Multi-Agent Scheduling
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
Chi-Hui Lin
Joewie J. Koh
A. Roncone
Lijun Chen
29
0
0
05 Apr 2024
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token
  Exchange
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange
Philipp Altmann
Katharina Winter
Michael Kolle
Maximilian Zorn
Thomy Phan
Claudia Linnhoff-Popien
42
0
0
04 Apr 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for
  Adaptive Real-Time Subtask Recognition
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
Wenjing Zhang
Wei Zhang
39
0
0
04 Mar 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent
  Deep Reinforcement Learning
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau
Nicolas Bredeche
F. Benamar
Jae-Yun Jun
28
1
0
06 Feb 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
18
10
0
18 Dec 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
19
0
0
01 Nov 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
30
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
29
2
0
19 Oct 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
21
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
27
5
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
14
2
0
21 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
30
23
0
21 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
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
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
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
35
5
0
18 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
11
1
0
09 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
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
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
The challenge of redundancy on multi-agent value factorisation
The challenge of redundancy on multi-agent value factorisation
Siddarth S. Singh
Benjamin Rosman
36
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
X. Wang
26
0
0
16 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
30
1
0
03 Mar 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
39
38
0
21 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
26
17
0
15 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
MANSA: Learning Fast and Slow in Multi-Agent Systems
D. Mguni
Hao Chen
Taher Jafferjee
Jianhong Wang
Long Fei
Xidong Feng
Stephen Marcus McAleer
Feifei Tong
Jun Wang
Yaodong Yang
30
1
0
12 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in
  Multiagent Reinforcement Learning
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
30
11
0
11 Feb 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Lebin Yu
Yunbo Qiu
Quanming Yao
Xudong Zhang
Jian Wang
12
1
0
10 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Guangchong Zhou
Zeren Zhang
Guoliang Fan
28
3
0
04 Feb 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
20
5
0
02 Feb 2023
Differential Privacy in Cooperative Multiagent Planning
Differential Privacy in Cooperative Multiagent Planning
Bo Chen
C. Hawkins
Mustafa O. Karabag
Cyrus Neary
Matthew T. Hale
Ufuk Topcu
26
8
0
20 Jan 2023
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna
  Tuning
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Maxime Bouton
Jaeseong Jeong
José Outes Carnero
Adriano Mendo
Alexandros Nikou
22
1
0
20 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
24
1
0
14 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement
  Learning in Presence of a Non-decomposable Shared Global State
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
31
8
0
13 Jan 2023
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