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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
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
92
6
0
17 Sep 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
74
4
0
15 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
243
7
0
15 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
79
5
0
07 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance
  Reduction
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
Taher Jafferjee
Juliusz Ziomek
Tianpei Yang
Zipeng Dai
Jianhong Wang
Matthew E. Taylor
Kun Shao
Jun Wang
D. Mguni
66
1
0
02 Sep 2022
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
79
1
0
29 Aug 2022
Quantum Multi-Agent Meta Reinforcement Learning
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun
Jihong Park
Joongheon Kim
96
40
0
22 Aug 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
128
1
0
16 Aug 2022
Transformer-based Value Function Decomposition for Cooperative
  Multi-agent Reinforcement Learning in StarCraft
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft
Muhammad Junaid Khan
Syed Hammad Ahmed
G. Sukthankar
47
16
0
15 Aug 2022
Cooperative guidance of multiple missiles: a hybrid co-evolutionary
  approach
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach
Xuejing Lan
Junda Chen
Zhijia Zhao
T. Zou
70
7
0
15 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep
  Reinforcemen Learning
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
Kai Liu
Tianxian Zhang
L. Kong
78
0
0
07 Aug 2022
A Model for Multi-Agent Heterogeneous Interaction Problems
A Model for Multi-Agent Heterogeneous Interaction Problems
Christopher D. Hsu
Mulugeta Haile
Pratik Chaudhari
AAML
59
0
0
02 Aug 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
85
10
0
13 Jul 2022
Towards Global Optimality in Cooperative MARL with the Transformation
  And Distillation Framework
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye
Chenghao Li
Jianhao Wang
Chongjie Zhang
87
4
0
12 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Shunyu Liu
Mingli Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Mingli Song
58
10
0
08 Jul 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks
  and Environmental Factors without Precise Reward Functions
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim
Ji-Yun Oh
Yongsik Lee
Joonkee Kim
S. Kim
Song Chong
Se-Young Yun
64
2
0
05 Jul 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in
  Multi-Agent Reinforcement Learning
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
94
4
0
22 Jun 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
70
35
0
20 Jun 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent
  Reinforcement Learning?
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Shuang Luo
Yinchuan Li
Jiahui Li
Kun Kuang
Furui Liu
Yunfeng Shao
Chao-Xiang Wu
OffRL
60
6
0
20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
100
35
0
15 Jun 2022
Finite-Time Analysis of Fully Decentralized Single-Timescale
  Actor-Critic
Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic
Qijun Luo
Xiao Li
102
1
0
12 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
86
15
0
06 Jun 2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in
  Multi-Agent Deep Reinforcement Learning
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Haoxing Chen
Guang Yang
Junge Zhang
Qiyue Yin
Kaiqi Huang
64
2
0
02 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games
Ziyi Liu
Xian Guo
Yongchun Fang
123
0
0
31 May 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent
  Reinforcement Learning
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning
Rafael Pina
V. D. Silva
Joosep Hook
A. Kondoz
29
14
0
30 May 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
109
194
0
30 May 2022
Off-Beat Multi-Agent Reinforcement Learning
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
Rongpin Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
58
2
0
27 May 2022
QGNN: Value Function Factorisation with Graph Neural Networks
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
88
16
0
25 May 2022
Scalable Multi-Agent Model-Based Reinforcement Learning
Scalable Multi-Agent Model-Based Reinforcement Learning
Vladimir Egorov
A. Shpilman
90
27
0
25 May 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent
  Reinforcement Learning
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani
Zhicheng Zhang
Nicholay Topin
Z. Shi
Charles A. Kamhoua
Evangelos E. Papalexakis
Fei Fang
OffRL
155
13
0
25 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent
  Reinforcement Learning
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
47
0
0
23 May 2022
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Sparse Adversarial Attack in Multi-agent Reinforcement Learning
Yi Hu
Zhihua Zhang
AAML
95
11
0
19 May 2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent
  Reinforcement Learning
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Mingyu Yang
Jian Zhao
Xu Hu
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
86
35
0
05 May 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
72
8
0
20 Apr 2022
Multi-UAV Collision Avoidance using Multi-Agent Reinforcement Learning
  with Counterfactual Credit Assignment
Multi-UAV Collision Avoidance using Multi-Agent Reinforcement Learning with Counterfactual Credit Assignment
Shuangyao Huang
Haibo Zhang
Zhiyi Huang
37
7
0
19 Apr 2022
Learning to Transfer Role Assignment Across Team Sizes
Learning to Transfer Role Assignment Across Team Sizes
D. Nguyen
Phuoc Nguyen
Svetha Venkatesh
T. Tran
49
7
0
17 Apr 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Yuan Tian
Klaus-Rudolf Kladny
Qin Wang
Zhiwu Huang
Olga Fink
AI4CE
56
10
0
12 Apr 2022
Distributed Reinforcement Learning for Robot Teams: A Review
Distributed Reinforcement Learning for Robot Teams: A Review
Yutong Wang
Mehul Damani
Pamela Wang
Yuhong Cao
Guillaume Sartoretti
121
23
0
07 Apr 2022
Building Decision Forest via Deep Reinforcement Learning
Building Decision Forest via Deep Reinforcement Learning
Guixuan Wen
Kaigui Wu
41
4
0
01 Apr 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative
  Scenarios
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai
Weifan Li
Yuanheng Zhu
Dongbin Zhao
Zhe Ma
Kewu Sun
Jishiyu Ding
83
45
0
28 Mar 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement
  Learning
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber
Daniel Wälchli
Mustafa Zeqiri
Petros Koumoutsakos
CLLOffRL
74
7
0
24 Mar 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
59
7
0
16 Mar 2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent
  Reinforcement Learning
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning
Jian Zhao
Xu Hu
Mingyu Yang
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
OffRL
42
17
0
16 Mar 2022
Concentration Network for Reinforcement Learning of Large-Scale
  Multi-Agent Systems
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Shiguang Wu
60
16
0
12 Mar 2022
A Survey on Reinforcement Learning Methods in Character Animation
A Survey on Reinforcement Learning Methods in Character Animation
Ariel Kwiatkowski
Eduardo Alvarado
Vicky Kalogeiton
Chenxi Liu
Julien Pettré
M. van de Panne
Marie-Paule Cani
AI4CE
97
46
0
07 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a
  Multi-Agent Environment
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
Diogo S. Carvalho
B. Sengupta
63
2
0
06 Mar 2022
MCMARL: Parameterizing Value Function via Mixture of Categorical
  Distributions for Multi-Agent Reinforcement Learning
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning
Jian Zhao
Mingyu Yang
Youpeng Zhao
Xu Hu
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
55
3
0
21 Feb 2022
Disentangling Successor Features for Coordination in Multi-agent
  Reinforcement Learning
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning
Seungchan Kim
Neale Van Stralen
Girish Chowdhary
Huy T. Tran
41
0
0
15 Feb 2022
Understanding Value Decomposition Algorithms in Deep Cooperative
  Multi-Agent Reinforcement Learning
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning
Zehao Dou
J. Kuba
Yaodong Yang
FAtt
64
6
0
10 Feb 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent
  Reinforcement Learning
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning
Hon Tik Tse
Hofung Leung
56
1
0
26 Jan 2022
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