ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.11485
  4. Cited By
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
v1v2 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 753 papers shown
Title
A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
73
3
0
18 Jul 2022
Stochastic Market Games
Stochastic Market Games
Kyrill Schmid
Lenz Belzner
Robert Muller
Johannes Tochtermann
Claudia Linnhoff-Popien
47
5
0
15 Jul 2022
K-level Reasoning for Zero-Shot Coordination in Hanabi
K-level Reasoning for Zero-Shot Coordination in Hanabi
Brandon Cui
Hengyuan Hu
Luis Pineda
Jakob N. Foerster
OffRLLRM
86
36
0
14 Jul 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
Self-Explaining Deviations for Coordination
Self-Explaining Deviations for Coordination
Hengyuan Hu
Samuel Sokota
David J. Wu
A. Bakhtin
Andrei Lupu
Brandon Cui
Jakob N. Foerster
53
2
0
13 Jul 2022
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy
  Optimization
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wenze Chen
Shiyu Huang
Yuan Chiang
Tim Pearce
Wei-Wei Tu
Tingling Chen
Jun Zhu
89
9
0
12 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
Learning-based Autonomous Channel Access in the Presence of Hidden
  Terminals
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
Yulin Shao
Yucheng Cai
Taotao Wang
Ziyang Guo
Peng Liu
Jiajun Luo
Deniz Gunduz
59
7
0
07 Jul 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent
  Reinforcement Learning
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Lukas Schafer
Filippos Christianos
Amos Storkey
Stefano V. Albrecht
51
7
0
05 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
NVIF: Neighboring Variational Information Flow for Large-Scale
  Cooperative Multi-Agent Scenarios
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Jiajun Chai
Yuanheng Zhu
Dongbin Zhao
58
0
0
03 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning
Risk Perspective Exploration in Distributional Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Se-Young Yun
48
5
0
28 Jun 2022
Toward multi-target self-organizing pursuit in a partially observable
  Markov game
Toward multi-target self-organizing pursuit in a partially observable Markov game
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Ye-ling Shi
Yuhui Shi
Chin-Teng Lin
60
9
0
24 Jun 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
POGEMA: Partially Observable Grid Environment for Multiple Agents
POGEMA: Partially Observable Grid Environment for Multiple Agents
Alexey Skrynnik
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
24
6
0
22 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in
  Multi-agent Systems
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
Soheil Feizi
Sumitra Ganesh
Furong Huang
AAML
82
10
0
21 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
58
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
Universally Expressive Communication in Multi-Agent Reinforcement
  Learning
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris
Thomas D. Barrett
Arnu Pretorius
75
4
0
14 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
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based
  on Maximum Entropy
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy
Hongzhi Hua
Kaigui Wu
Guixuan Wen
33
0
0
10 Jun 2022
Policy Optimization for Markov Games: Unified Framework and Faster
  Convergence
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Runyu Zhang
Qinghua Liu
Haiquan Wang
Caiming Xiong
Na Li
Yu Bai
87
26
0
06 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
Learning Distributed and Fair Policies for Network Load Balancing as
  Markov Potential Game
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao
Zihan Ding
OffRL
83
2
0
03 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
61
2
0
02 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent
  RL
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Siyi Hu
Chuanlong Xie
Xiaodan Liang
Xiaojun Chang
56
22
0
01 Jun 2022
DM$^2$: Decentralized Multi-Agent Reinforcement Learning for
  Distribution Matching
DM2^22: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
Caroline Wang
Ishan Durugkar
Elad Liebman
Peter Stone
74
6
0
01 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
107
194
0
30 May 2022
Feudal Multi-Agent Reinforcement Learning with Adaptive Network
  Partition for Traffic Signal Control
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control
Jinming Ma
Feng Wu
18
5
0
27 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
83
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
153
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
Coordinating Policies Among Multiple Agents via an Intelligent
  Communication Channel
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
73
0
0
21 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRLAI4TS
269
258
0
20 May 2022
Learning Progress Driven Multi-Agent Curriculum
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao
Zhiyuan Li
Joni Pajarinen
101
0
0
20 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
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
110
25
0
15 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
34
0
05 May 2022
Resilient robot teams: a review integrating decentralised control,
  change-detection, and learning
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
David M. Bossens
Sarvapali Ramchurn
Danesh Tarapore
73
5
0
21 Apr 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
Towards Comprehensive Testing on the Robustness of Cooperative
  Multi-agent Reinforcement Learning
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
Jun Guo
Yonghong Chen
Yihang Hao
Zixin Yin
Yin Yu
Simin Li
AAML
106
34
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
Previous
123...789...141516
Next