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2008.01062
Cited By
QPLEX: Duplex Dueling Multi-Agent Q-Learning
3 August 2020
Jianhao Wang
Zhizhou Ren
Terry Liu
Yang Yu
Chongjie Zhang
OffRL
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Papers citing
"QPLEX: Duplex Dueling Multi-Agent Q-Learning"
50 / 207 papers shown
Title
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Cong Guan
F. Chen
Lei Yuan
Zongzhang Zhang
Yang Yu
OffRL
37
4
0
19 Feb 2023
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
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Shanqi Liu
Yujing Hu
Runze Wu
Dongxian Xing
Yu Xiong
Changjie Fan
Kun Kuang
Y. Liu
19
0
0
14 Feb 2023
Order Matters: Agent-by-agent Policy Optimization
Xihuai Wang
Zheng Tian
Ziyu Wan
Ying Wen
J. Wang
Weinan Zhang
25
26
0
13 Feb 2023
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
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
30
11
0
11 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
AAML
42
13
0
07 Feb 2023
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
Jiechuan Jiang
Zongqing Lu
OffRL
20
5
0
02 Feb 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Xu Hu
Jian Zhao
Wen-gang Zhou
Ruili Feng
Houqiang Li
29
1
0
25 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems
Matteo Gallici
Mario Martin
Ivan Masmitja
OffRL
11
9
0
13 Jan 2023
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
41
5
0
05 Jan 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Nusslein
Michael Kolle
Thomas Gabor
Claudia Linnhoff-Popien
22
12
0
04 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya-Qin Zhang
Yixin Chen
Dacheng Tao
OffRL
27
25
0
29 Dec 2022
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Ju-Bong Kim
Ho-bin Choi
Youn-Hee Han
14
4
0
27 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
19
83
0
14 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
M. Ibrahim
Ammar Fayad
22
1
0
14 Dec 2022
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
25
1
0
06 Dec 2022
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
Chuming Li
Jie Liu
Yinmin Zhang
Yuhong Wei
Yazhe Niu
Yaodong Yang
Y. Liu
Wanli Ouyang
46
23
0
29 Nov 2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Shunyu Liu
Yihe Zhou
Jie Song
Tongya Zheng
Kaixuan Chen
Tongtian Zhu
Zunlei Feng
Mingli Song
40
17
0
23 Nov 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
37
12
0
22 Nov 2022
Decision-making with Speculative Opponent Models
Jing-rong Sun
Shuo Chen
Cong Zhang
Yining Ma
Jie Zhang
28
1
0
22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy
J. Pisane
D. Ernst
17
3
0
21 Nov 2022
Decentralized Policy Optimization
Kefan Su
Zongqing Lu
11
8
0
06 Nov 2022
Non-Linear Coordination Graphs
Yipeng Kang
Tonghan Wang
Xiao-Ren Wu
Qianlan Yang
Chongjie Zhang
29
9
0
26 Oct 2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning
Wei Qiu
Xiao Ma
Bo An
S. Obraztsova
Shuicheng Yan
Zhongwen Xu
11
1
0
18 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen
Hangyu Mao
Jiaxin Mao
Shiguang Wu
Tianle Zhang
Bin Zhang
Bin Wang
Hong Chang
OffRL
36
7
0
17 Oct 2022
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Wubing Chen
Wenbin Li
Xiao Liu
Shangdong Yang
Yang Gao
40
5
0
10 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
24
7
0
04 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
27
4
0
28 Sep 2022
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
Jiangxing Wang
Deheng Ye
Zongqing Lu
OffRL
39
18
0
26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
39
49
0
21 Sep 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
Yi-Te Hong
Yaochu Jin
Yang Tang
17
22
0
20 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
28
6
0
17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
57
5
0
15 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
Taher Jafferjee
Juliusz Ziomek
Tianpei Yang
Zipeng Dai
Jianhong Wang
Matthew E. Taylor
Kun Shao
J. Wang
D. Mguni
32
0
0
02 Sep 2022
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
24
0
0
16 Aug 2022
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft
Muhammad Junaid Khan
Syed Hammad Ahmed
G. Sukthankar
23
15
0
15 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
Kai Liu
Tianxian Zhang
L. Kong
28
0
0
07 Aug 2022
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye
Chenghao Li
Jianhao Wang
Chongjie Zhang
37
2
0
12 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Shunyu Liu
Jie Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Mingli Song
26
7
0
08 Jul 2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
16
4
0
22 Jun 2022
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
16
6
0
20 Jun 2022
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Zhiuxan Liang
Jiannong Cao
Shan Jiang
Divya Saxena
Jinlin Chen
Huafeng Xu
22
9
0
20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
34
32
0
15 Jun 2022
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
17
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
18
0
0
31 May 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning
Rafael Pina
V. D. Silva
Joosep Hook
A. Kondoz
12
13
0
30 May 2022
Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu
Weixun Wang
R. Wang
Bo An
Yujing Hu
S. Obraztsova
Zinovi Rabinovich
Jianye Hao
Yingfeng Chen
Changjie Fan
OffRL
26
2
0
27 May 2022
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
19
15
0
25 May 2022
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