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

50 / 750 papers shown
Title
Optimal communication and control strategies in a multi-agent MDP
  problem
Optimal communication and control strategies in a multi-agent MDP problem
Sagar Sudhakara
D. Kartik
Rahul Jain
A. Nayyar
16
3
0
22 Apr 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent
  Traffic Control Problem
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
Chengwei Zhang
Shan Jin
Wanli Xue
Xiaofei Xie
Shengyong Chen
Rong Chen
37
24
0
22 Apr 2021
Joint Attention for Multi-Agent Coordination and Social Learning
Joint Attention for Multi-Agent Coordination and Social Learning
Dennis Lee
Natasha Jaques
Chase Kew
Jiaxing Wu
Douglas Eck
Dale Schuurmans
Aleksandra Faust
30
8
0
15 Apr 2021
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent
  Reinforcement Learning
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Yuan Pu
Shaochen Wang
Rui Yang
Xin Yao
Bin Li
24
19
0
14 Apr 2021
A coevolutionary approach to deep multi-agent reinforcement learning
A coevolutionary approach to deep multi-agent reinforcement learning
Daan Klijn
A. E. Eiben
16
8
0
12 Apr 2021
Learning to Coordinate via Multiple Graph Neural Networks
Learning to Coordinate via Multiple Graph Neural Networks
Zhiwei Xu
Bin Zhang
Yunpeng Bai
Dapeng Li
Guoliang Fan
GNN
AI4CE
29
8
0
08 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
38
401
0
05 Apr 2021
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent
  Reinforcement Learning
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning
Quanlin Chen
OffRL
39
0
0
05 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train
  Coordination on a Grid World
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
36
28
0
30 Mar 2021
Shaping Advice in Deep Multi-Agent Reinforcement Learning
Shaping Advice in Deep Multi-Agent Reinforcement Learning
Baicen Xiao
Bhaskar Ramasubramanian
Radha Poovendran
6
5
0
29 Mar 2021
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning
  Approach
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach
Shaoyang Wang
Tiejun Lv
Wei Ni
N. Beaulieu
Y. Guo
22
44
0
29 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Jimmy Wu
Xingyuan Sun
Andy Zeng
Shuran Song
Szymon Rusinkiewicz
Thomas Funkhouser
31
23
0
23 Mar 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in
  High-Conflict Driving Scenarios
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing
Adam R. Villaflor
John M. Dolan
33
5
0
22 Mar 2021
Regularized Softmax Deep Multi-Agent $Q$-Learning
Regularized Softmax Deep Multi-Agent QQQ-Learning
L. Pan
Tabish Rashid
Bei Peng
Longbo Huang
Shimon Whiteson
42
31
0
22 Mar 2021
Local Patch AutoAugment with Multi-Agent Collaboration
Local Patch AutoAugment with Multi-Agent Collaboration
Shiqi Lin
Tao Yu
Ruoyu Feng
Xin Li
Xin Jin
Zhibo Chen
18
15
0
20 Mar 2021
Learning in Nonzero-Sum Stochastic Games with Potentials
Learning in Nonzero-Sum Stochastic Games with Potentials
D. Mguni
Yutong Wu
Yali Du
Yaodong Yang
Ziyi Wang
Minne Li
Ying Wen
Joel Jennings
Jun Wang
24
45
0
16 Mar 2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Kalesha Bullard
Douwe Kiela
Franziska Meier
Joelle Pineau
Jakob N. Foerster
30
20
0
14 Mar 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen Marcus McAleer
John Lanier
Kevin A. Wang
Pierre Baldi
Roy Fox
27
52
0
11 Mar 2021
Decentralized Circle Formation Control for Fish-like Robots in the
  Real-world via Reinforcement Learning
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning
Tianhao Zhang
Yueheng Li
Shuai Li
Qiwei Ye
Chen Wang
G. Xie
OffRL
11
12
0
09 Mar 2021
Off-Belief Learning
Off-Belief Learning
Hengyuan Hu
Adam Lerer
Brandon Cui
David J. Wu
Luis Pineda
Noam Brown
Jakob N. Foerster
OffRL
18
69
0
06 Mar 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using
  learned world models
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
Daniel Willemsen
M. Coppola
Guido de Croon
21
30
0
05 Mar 2021
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer
  Programming for Multi-transfer Truck Freight Delivery
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight Delivery
Jiayu Chen
A. Umrawal
Tian-Shing Lan
Vaneet Aggarwal
8
1
0
05 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
33
1,201
0
02 Mar 2021
Balancing Rational and Other-Regarding Preferences in
  Cooperative-Competitive Environments
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Dmitry Ivanov
Vladimir Egorov
A. Shpilman
22
5
0
24 Feb 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent
  Reinforcement Learning
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement
  Learning Agents
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu
Xinrun Wang
Runsheng Yu
Xu He
R. Wang
Bo An
S. Obraztsova
Zinovi Rabinovich
35
50
0
16 Feb 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for
  Multi-Agent Distributional Q-Learning
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Wei-Fang Sun
Cheng-Kuang Lee
Chun-Yi Lee
OffRL
15
48
0
16 Feb 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter
  Sharing
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos
Georgios Papoudakis
Arrasy Rahman
Stefano V. Albrecht
25
114
0
15 Feb 2021
Common Information Belief based Dynamic Programs for Stochastic Zero-sum
  Games with Competing Teams
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams
D. Kartik
A. Nayyar
U. Mitra
8
12
0
11 Feb 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent
  Reinforcement Learning
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Xiaoteng Ma
Yiqin Yang
Chenghao Li
Yiwen Lu
Qianchuan Zhao
Yang Jun
52
13
0
10 Feb 2021
Multi-Agent Coordination in Adversarial Environments through Signal
  Mediated Strategies
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
Federico Cacciamani
A. Celli
Marco Ciccone
N. Gatti
26
8
0
09 Feb 2021
Structured Diversification Emergence via Reinforced Organization Control
  and Hierarchical Consensus Learning
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
Wenhao Li
Xiangfeng Wang
Bo Jin
Junjie Sheng
Yun Hua
H. Zha
19
4
0
09 Feb 2021
Contrasting Centralized and Decentralized Critics in Multi-Agent
  Reinforcement Learning
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu
Yuchen Xiao
Brett Daley
Chris Amato
OffRL
27
103
0
08 Feb 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in
  Cooperative Multi-Agent Reinforcement Learning
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Siyang Jiang
Seth Austin Harding
Haibin Wu
Shihua Liao
24
86
0
06 Feb 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy
  Decoupling with Transformers
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
OffRL
37
71
0
20 Jan 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via
  Learned Messaging
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
24
15
0
18 Jan 2021
Scalable Anytime Planning for Multi-Agent MDPs
Scalable Anytime Planning for Multi-Agent MDPs
Shushman Choudhury
Jayesh K. Gupta
Peter Morales
Mykel J. Kochenderfer
16
15
0
12 Jan 2021
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using
  Multi-Agent Reinforcement Learning
Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning
Mingqi Yuan
Qi Cao
Man-On Pun
Yi Chen
24
7
0
30 Dec 2020
Cooperative Policy Learning with Pre-trained Heterogeneous Observation
  Representations
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Wenlei Shi
Xinran Wei
Jia Zhang
Xiaoyuan Ni
Arthur Jiang
Jiang Bian
Tie-Yan Liu
11
3
0
24 Dec 2020
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of
  Algorithms to Cooperative Multi-Agent Reinforcement Learning
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
Pascal Leroy
D. Ernst
Pierre Geurts
Gilles Louppe
J. Pisane
M. Sabatelli
28
6
0
22 Dec 2020
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement
  Learning
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
Aleksandra Malysheva
D. Kudenko
A. Shpilman
AI4CE
18
19
0
17 Dec 2020
Stabilizing Q Learning Via Soft Mellowmax Operator
Stabilizing Q Learning Via Soft Mellowmax Operator
Yaozhong Gan
Zhe Zhang
Xiaoyang Tan
19
5
0
17 Dec 2020
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent
  Reinforcement Learning using Agent Class Information
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
AI4CE
24
0
0
14 Dec 2020
Multi-agent Policy Optimization with Approximatively Synchronous
  Advantage Estimation
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation
Lipeng Wan
Xuwei Song
Xuguang Lan
N. Zheng
OffRL
37
0
0
07 Dec 2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game
  Environment for Multi-agent Reinforcement Learning
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
Hangtian Jia
Yujing Hu
Yingfeng Chen
Chunxu Ren
Tangjie Lv
Changjie Fan
Chongjie Zhang
32
22
0
06 Dec 2020
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless
  Drone Networks
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
Ye Hu
Mingzhe Chen
Walid Saad
H. Vincent Poor
Shuguang Cui
29
104
0
06 Dec 2020
Emergent Road Rules In Multi-Agent Driving Environments
Emergent Road Rules In Multi-Agent Driving Environments
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
31
11
0
21 Nov 2020
Is Independent Learning All You Need in the StarCraft Multi-Agent
  Challenge?
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Christian Schroeder de Witt
Tarun Gupta
Denys Makoviichuk
Viktor Makoviychuk
Philip Torr
Mingfei Sun
Shimon Whiteson
23
321
0
18 Nov 2020
Scalable Reinforcement Learning Policies for Multi-Agent Control
Scalable Reinforcement Learning Policies for Multi-Agent Control
Christopher D. Hsu
Heejin Jeong
George J. Pappas
Pratik Chaudhari
13
33
0
16 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic
  Dispatching
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
H. Khorasgani
Haiyan Wang
Chetan Gupta
OffRL
OnRL
27
10
0
09 Nov 2020
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