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Value-Decomposition Networks For Cooperative Multi-Agent Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

16 June 2017
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
Max Jaderberg
Marc Lanctot
Nicolas Sonnerat
Joel Z. Leibo
K. Tuyls
T. Graepel
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Papers citing "Value-Decomposition Networks For Cooperative Multi-Agent Learning"

50 / 453 papers shown
Title
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
39
4
0
25 Dec 2023
Multi-Task Multi-Agent Shared Layers are Universal Cognition of
  Multi-Agent Coordination
Multi-Task Multi-Agent Shared Layers are Universal Cognition of Multi-Agent Coordination
Jiawei Wang
Jian Zhao
Zhengtao Cao
Ruili Feng
Rongjun Qin
Yang Yu
30
1
0
25 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative
  MARL
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
Wiem Khlifi
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Abidine Vall
R. Gorsane
Arnu Pretorius
44
1
0
13 Dec 2023
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub
Ruan de Kock
Siddarth S. Singh
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
FAtt
40
2
0
13 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
51
1
0
13 Dec 2023
Noise Distribution Decomposition based Multi-Agent Distributional
  Reinforcement Learning
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning
Wei Geng
Baidi Xiao
Rongpeng Li
Ning Wei
Dong Wang
Zhifeng Zhao
25
1
0
12 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
12
0
0
07 Dec 2023
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit
  Assignment
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
Ziyan Wang
Yali Du
Yudi Zhang
Meng Fang
Biwei Huang
OffRL
31
1
0
06 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
47
15
0
03 Dec 2023
JaxMARL: Multi-Agent RL Environments in JAX
JaxMARL: Multi-Agent RL Environments in JAX
Alex Rutherford
Benjamin Ellis
Matteo Gallici
Jonathan Cook
Andrei Lupu
...
Bruno Lacerda
Nick Hawes
Tim Rocktaschel
Chris Xiaoxuan Lu
Jakob N. Foerster
41
27
0
16 Nov 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
25
1
0
05 Nov 2023
Learning Independently from Causality in Multi-Agent Environments
Learning Independently from Causality in Multi-Agent Environments
Rafael Pina
V. D. Silva
Corentin Artaud
LRM
19
0
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
30
3
0
03 Nov 2023
Optimistic Multi-Agent Policy Gradient
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao
Yi Zhao
Zhiyuan Li
Arno Solin
Joni Pajarinen
20
0
0
03 Nov 2023
Impact of Relational Networks in Multi-Agent Learning: A Value-Based
  Factorization View
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
33
7
0
19 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational
  Network Perspective
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
38
5
0
19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen
  Malfunctions in Multi-Robot Teams
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
34
2
0
19 Oct 2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable
  Speed Limits
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
Yuhang Zhang
Marcos Quiñones-Grueiro
Zhiyao Zhang
Yanbing Wang
William Barbour
Gautam Biswas
Dan Work
38
5
0
18 Oct 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li
Yu Quan Chong
Simon Stepputtis
Joseph Campbell
Dana Hughes
Michael Lewis
Katia P. Sycara
LLMAG
36
62
0
16 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General
  Sequential Decision Scenarios
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Yazhe Niu
Yuan Pu
Zhenjie Yang
Xueyan Li
Tong Zhou
Jiyuan Ren
Shuai Hu
Hongsheng Li
Yu Liu
98
12
0
12 Oct 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation
  Learning
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui
Tien Mai
Thanh Hong Nguyen
26
2
0
10 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational
  Communication for Large-Scale Traffic Signal Control
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
Rohit Bokade
Xiaoning Jin
Chris Amato
38
10
0
03 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations
  via Inverse Reinforcement Learning
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
Chao Liu
Zhaoyuan Gu
Hanran Wu
Deniz Irem Erus
Ye Zhao
42
6
0
28 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
David Meger
DRL
17
1
0
08 Sep 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent
  Reinforcement Learning
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
36
3
0
25 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
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing
  in Disaster Response
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han
Chunyu Tu
Zhiwen Yu
Zhiyong Yu
Weihua Shan
Liang Wang
Bin Guo
14
2
0
21 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In
  the Game of Hanabi
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei
Xutong Zhao
Janarthanan Rajendran
Miao Liu
Sarath Chandar
25
4
0
20 Aug 2023
Mimicking To Dominate: Imitation Learning Strategies for Success in
  Multiagent Competitive Games
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games
The Viet Bui
Tien Mai
T. Nguyen
13
1
0
20 Aug 2023
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping
  Environment
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment
Hao Zhang
Jiaming Chen
Jiyu Cheng
Yibin Li
Simon X. Yang
Wei Zhang
33
6
0
17 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent
  Policy Optimization
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
Mohammad Mehdi Nasiri
M. Rezghi
38
0
0
13 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
33
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
Leveraging Factored Action Spaces for Off-Policy Evaluation
Leveraging Factored Action Spaces for Off-Policy Evaluation
Aaman Rebello
Shengpu Tang
Jenna Wiens
Sonali Parbhoo Department of Engineering
CML
OffRL
28
2
0
13 Jul 2023
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot
  Reinforcement Learning Algorithms
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms
R. Torbati
Shubbham Lohiya
Shivika Singh
Meher Shashwat Nigam
Harish Ravichandar
27
1
0
08 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
35
0
0
05 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
23
7
0
04 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
30
3
0
22 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
36
2
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
29
5
0
15 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative
  Multi-Agent Reinforcement Learning
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Cen Chen
Kai Zhang
Chao Yu
Jianye Hao
43
1
0
14 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation
Multi-agent Exploration with Sub-state Entropy Estimation
Jian Tao
Yang Zhang
Yang Chen
Xiu Li
26
1
0
10 Jun 2023
Reinforcement Learning With Reward Machines in Stochastic Games
Reinforcement Learning With Reward Machines in Stochastic Games
Jueming Hu
Jean-Raphael Gaglione
Yanze Wang
Zhe Xu
Ufuk Topcu
Yongming Liu
18
1
0
27 May 2023
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
Yang You
Vincent Thomas
F. Colas
Olivier Buffet
16
1
0
19 May 2023
Collective Large-scale Wind Farm Multivariate Power Output Control Based
  on Hierarchical Communication Multi-Agent Proximal Policy Optimization
Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization
Yubao Zhang
Xinyu Chen
Sumei Gong
Hao-lei Chen
24
8
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
33
1
0
12 May 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
24
3
0
10 May 2023
Mixture of personality improved Spiking actor network for efficient
  multi-agent cooperation
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Xiyun Li
Ziyi Ni
Jingqing Ruan
Linghui Meng
Jing Shi
Tielin Zhang
Bo Xu
61
4
0
10 May 2023
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement
  Learning
SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
Adam Michalski
Filippos Christianos
Stefano V. Albrecht
23
3
0
09 May 2023
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