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QPLEX: Duplex Dueling Multi-Agent Q-Learning

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 / 208 papers shown
Title
Backpropagation Through Agents
Backpropagation Through Agents
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
Joni Pajarinen
29
1
0
23 Jan 2024
AgentMixer: Multi-Agent Correlated Policy Factorization
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
Joni Pajarinen
OffRL
48
1
0
16 Jan 2024
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Thomy Phan
Joseph Driscoll
Justin Romberg
Sven Koenig
18
3
0
11 Jan 2024
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A
  Survey
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
38
3
0
10 Jan 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy
  Gradient
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
Xingzhou Lou
Junge Zhang
Timothy J. Norman
Kaiqi Huang
Yali Du
27
0
0
25 Dec 2023
ConcaveQ: Non-Monotonic Value Function Factorization via Concave
  Representations in Deep Multi-Agent Reinforcement Learning
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li
Hanhan Zhou
Yifei Zou
Dongxiao Yu
Tian-Shing Lan
11
8
0
24 Dec 2023
How much can change in a year? Revisiting Evaluation in Multi-Agent
  Reinforcement Learning
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
45
1
0
13 Dec 2023
A Review of Cooperation in Multi-agent Learning
A Review of Cooperation in Multi-agent Learning
Yali Du
Joel Z Leibo
Usman Islam
Richard Willis
P. Sunehag
38
16
0
08 Dec 2023
Mastering Complex Coordination through Attention-based Dynamic Graph
Mastering Complex Coordination through Attention-based Dynamic Graph
Guangchong Zhou
Zhiwei Xu
Zeren Zhang
Guoliang Fan
GNN
10
0
0
07 Dec 2023
Staged Reinforcement Learning for Complex Tasks through Decomposed
  Environments
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments
Rafael Pina
Corentin Artaud
Xiaolan Liu
V. D. Silva
18
1
0
05 Nov 2023
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
OODD
OffRL
27
3
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
20
10
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
24
0
0
01 Nov 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
31
2
0
15 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
21
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
23
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
20
19
0
22 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
D. Meger
DRL
17
1
0
08 Sep 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
32
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
35
5
0
22 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chongjie Zhang
Qianchuan Zhao
37
2
0
19 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
H. Najjaran
27
13
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
33
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
30
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
32
0
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
28
2
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
35
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
25
7
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
21
5
0
15 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience
  for Multi-Vehicle Pursuit
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li
Yiying Yang
Zheng Yuan
Zhe Wang
Qinwen Wang
Chen Xu
Lei Li
Jianhua He
Lin Zhang
20
2
0
08 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
13
1
0
04 Jun 2023
Centralised rehearsal of decentralised cooperation: Multi-agent
  reinforcement learning for the scalable coordination of residential energy
  flexibility
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
Flora Charbonnier
Bei Peng
Thomas Morstyn
Malcolm McCulloch
19
6
0
30 May 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
31
18
0
27 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
33
14
0
17 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
28
1
0
12 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
24
17
0
10 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
39
7
0
07 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
37
2
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
53
37
0
02 May 2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for
  Cooperative MARL
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL
Dapeng Li
Zhiwei Xu
Bin Zhang
Guoliang Fan
46
7
0
28 Apr 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
45
10
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
18
4
0
15 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
17
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
19
28
0
03 Apr 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local
  Models in Model-Based Multi-Agent Reinforcement Learning
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
Zifan Wu
Chao Yu
Cheng Chen
Jianye Hao
H. Zhuo
34
9
0
31 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
34
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
19
5
0
16 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent
  General-Sum Games
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games
Ziyi Liu
Yongchun Fang
22
1
0
14 Mar 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent
  Reinforcement Learning
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Xiaoyang Yu
Youfang Lin
Xiangsen Wang
Sheng Han
Kai Lv
19
0
0
02 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
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