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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

30 March 2018
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
ArXivPDFHTML

Papers citing "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

50 / 750 papers shown
Title
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
32
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
24
1
0
20 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI
  Coordination
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Xingzhou Lou
Jiaxian Guo
Junge Zhang
Jun Wang
Kaiqi Huang
Yali Du
22
27
0
16 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
29
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
33
8
0
13 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of
  Multi-Agent Reinforcement Learning Problems
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems
Matteo Gallici
Mario Martin
Ivan Masmitja
OffRL
13
9
0
13 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework
Zongwei Liu
Yonghong Song
Yuanlin Zhang
OffRL
35
2
0
10 Jan 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
47
5
0
05 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via
  Transformer-Based Email Mechanism
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Xudong Guo
Daming Shi
Wenhui Fan
22
5
0
05 Jan 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under
  Stochastic Partial Observability
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
Emergent collective intelligence from massive-agent cooperation and
  competition
Emergent collective intelligence from massive-agent cooperation and competition
H. Chen
Stone Tao
Jiaxin Chen
Weihan Shen
Xihui Li
Chenghui Yu
Sikai Cheng
Xiaolong Zhu
Xiu Li
13
4
0
04 Jan 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected
  Multi-Robot Coordination in Smart Factory Management
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management
Won Joon Yun
Jae Pyoung Kim
Soyi Jung
Jae-Hyun Kim
Joongheon Kim
OffRL
29
31
0
04 Jan 2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability
  Optimization in the Metaverse over Wireless Communications
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
Wen-li Yu
Terence Jie Chua
Jun Zhao
OffRL
19
20
0
30 Dec 2022
On Transforming Reinforcement Learning by Transformer: The Development
  Trajectory
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya Zhang
Yixin Chen
Dacheng Tao
OffRL
27
25
0
29 Dec 2022
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Ju-Bong Kim
Ho-bin Choi
Youn-Hee Han
19
4
0
27 Dec 2022
Learning Individual Policies in Large Multi-agent Systems through Local
  Variance Minimization
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization
Tanvi Verma
Pradeep Varakantham
21
0
0
27 Dec 2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement
  Learning
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
42
5
0
22 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey
Semantics-Empowered Communication: A Tutorial-cum-Survey
Zhilin Lu
Rongpeng Li
Kun Lu
Xianfu Chen
Ekram Hossain
Zhifeng Zhao
Honggang Zhang
39
19
0
16 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory
  Management
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Chuheng Zhang
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
35
16
0
15 Dec 2022
Adaptive Multi-Agent Continuous Learning System
Adaptive Multi-Agent Continuous Learning System
Xingyu Qian
Aximu Yuemaier
Longfei Liang
Wen-Chi Yang
Xiaogang Chen
Shunfen Li
Weibang Dai
Zhitang Song
16
0
0
15 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
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
28
83
0
14 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement
  Learning
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
M. Ibrahim
Ammar Fayad
30
1
0
14 Dec 2022
Where to go: Agent Guidance with Deep Reinforcement Learning in A
  City-Scale Online Ride-Hailing Service
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service
Jiyao Li
V. Allan
16
2
0
12 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Kiran Ravish
24
7
0
10 Dec 2022
Scalable Planning and Learning Framework Development for Swarm-to-Swarm
  Engagement Problems
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems
Umut Demir
A. S. Satir
Gülay Goktas
Cansu Yikilmaz
N. K. Üre
21
1
0
06 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
28
1
0
06 Dec 2022
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV
  Air-to-Air Combat
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
Jiajun Chai
Wenzhang Chen
Yuanheng Zhu
Zonggui Yao
Dongbin Zhao
BDL
28
33
0
05 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel
  Program Guidance
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
50
7
0
05 Dec 2022
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
19
1
0
01 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
28
13
0
01 Dec 2022
ACE: Cooperative Multi-agent Q-learning with Bidirectional
  Action-Dependency
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
51
23
0
29 Nov 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action
  Spaces
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout
Maximilian Karl
Patrick van der Smagt
26
5
0
28 Nov 2022
Learning from Good Trajectories in Offline Multi-Agent Reinforcement
  Learning
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Qiangxing Tian
Kun Kuang
Furui Liu
Baoxiang Wang
OffRL
29
9
0
28 Nov 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
S. Rezaei-Shoshtari
Charlotte Morissette
F. Hogan
Gregory Dudek
D. Meger
OffRL
17
14
0
28 Nov 2022
A Critical Review of Traffic Signal Control and A Novel Unified View of
  Reinforcement Learning and Model Predictive Control Approaches for Adaptive
  Traffic Signal Control
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control
Xiaoyu Wang
Scott Sanner
Baher Abdulhai
9
5
0
26 Nov 2022
Melting Pot 2.0
Melting Pot 2.0
J. Agapiou
A. Vezhnevets
Edgar A. Duénez-Guzmán
Jayd Matyas
Yiran Mao
...
Sukhdeep Singh
Julia Haas
Igor Mordatch
D. Mobbs
Joel Z Leibo
35
31
0
24 Nov 2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Shunyu Liu
Yihe Zhou
Mingli Song
Tongya Zheng
Kaixuan Chen
Tongtian Zhu
Zunlei Feng
Mingli Song
42
17
0
23 Nov 2022
Greedy based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
47
12
0
22 Nov 2022
Decision-making with Speculative Opponent Models
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
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy
J. Pisane
D. Ernst
25
3
0
21 Nov 2022
TinyQMIX: Distributed Access Control for mMTC via Multi-agent
  Reinforcement Learning
TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning
Tien Thanh Le
Yusheng Ji
John C. S. Lui
6
3
0
21 Nov 2022
Backdoor Attacks on Multiagent Collaborative Systems
Backdoor Attacks on Multiagent Collaborative Systems
Shuo Chen
Yue Qiu
Jie Zhang
AAML
38
3
0
21 Nov 2022
Credit-cognisant reinforcement learning for multi-agent cooperation
Credit-cognisant reinforcement learning for multi-agent cooperation
F. Bredell
S. M. I. H. A. Engelbrecht
M. I. J. C. Schoeman
11
0
0
18 Nov 2022
Coordination for Connected and Automated Vehicles at Non-signalized
  Intersections: A Value Decomposition-based Multiagent Deep Reinforcement
  Learning Approach
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach
Zihan Guo
Yan Wu
Lifang Wang
Junzhi Zhang
34
14
0
15 Nov 2022
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Qing Fu
X. Ai
Jianqiang Yi
Tenghai Qiu
Wanmai Yuan
Zhiqiang Pu
21
7
0
13 Nov 2022
Satellite Navigation and Coordination with Limited Information Sharing
Satellite Navigation and Coordination with Limited Information Sharing
Sydney I. Dolan
Siddharth Nayak
H. Balakrishnan
28
5
0
07 Nov 2022
Decentralized Policy Optimization
Decentralized Policy Optimization
Kefan Su
Zongqing Lu
19
8
0
06 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent
  Information Aggregation
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak
Kenneth M. F. Choi
Wenqi Ding
Sydney I. Dolan
Karthik Gopalakrishnan
H. Balakrishnan
17
29
0
03 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement
  Learning
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She
Jayesh K. Gupta
Mykel J. Kochenderfer
34
4
0
31 Oct 2022
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