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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
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
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Kiran Ravish
29
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
23
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 Bayesian Framework for Digital Twin-Based Control, Monitoring, and
  Data Collection in Wireless Systems
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
32
28
0
02 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
31
5
0
28 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
18
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
50
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
Learning Cooperative Oversubscription for Cloud by Chance-Constrained
  Multi-Agent Reinforcement Learning
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng
Lu Wang
Fangkai Yang
Bo Qiao
Hang Dong
...
Jun Wang
Si Qin
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
14
7
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
13
0
0
18 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
Solving Collaborative Dec-POMDPs with Deep Reinforcement Learning Heuristics
Nitsan Soffair
31
0
0
09 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
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
Daniel Faissol
R. Anderson
31
8
0
02 Nov 2022
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
Roben Delos Reyes
Kyunghwan Son
Jinhwan Jung
Wan Ju Kang
Yung Yi
36
4
0
29 Oct 2022
The Design and Realization of Multi-agent Obstacle Avoidance based on
  Reinforcement Learning
The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning
Enyu Zhao
Chanjuan Liu
Houfu Su
Yang Liu
AI4CE
31
0
0
24 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
35
0
0
24 Oct 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
37
22
0
22 Oct 2022
Equivariant Networks for Zero-Shot Coordination
Equivariant Networks for Zero-Shot Coordination
Darius Muglich
Christian Schroeder de Witt
Elise van der Pol
Shimon Whiteson
Jakob N. Foerster
58
13
0
21 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen
Hangyu Mao
Jiaxin Mao
Shiguang Wu
Tianle Zhang
Bin Zhang
Bin Wang
Hong Chang
OffRL
41
7
0
17 Oct 2022
Personalized Federated Hypernetworks for Privacy Preservation in
  Multi-Task Reinforcement Learning
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning
Doseok Jang
La-mei Yan
Lucas Spangher
C. Spanos
33
1
0
13 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based
  Policy Learning
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Ignacio Carlucho
Niklas Höpner
Stefano V. Albrecht
53
8
0
11 Oct 2022
Human-AI Coordination via Human-Regularized Search and Learning
Human-AI Coordination via Human-Regularized Search and Learning
Hengyuan Hu
David J. Wu
Adam Lerer
Jakob N. Foerster
Noam Brown
19
7
0
11 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
29
16
0
09 Oct 2022
Multi-agent Deep Covering Skill Discovery
Multi-agent Deep Covering Skill Discovery
Jiayu Chen
Marina Haliem
Tian-Shing Lan
Vaneet Aggarwal
24
0
0
07 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
24
7
0
04 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
44
50
0
21 Sep 2022
Game-theoretic Objective Space Planning
Game-theoretic Objective Space Planning
Hongrui Zheng
Zhijun Zhuang
Johannes Betz
Rahul Mangharam
26
6
0
16 Sep 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent
  Reinforcement Learning (CMARL)
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
37
4
0
15 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative
  Multi-Agent Reinforcement Learning
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning
Washim Uddin Mondal
Vaneet Aggarwal
S. Ukkusuri
28
5
0
07 Sep 2022
Learning Practical Communication Strategies in Cooperative Multi-Agent
  Reinforcement Learning
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
Diyi Hu
Chi Zhang
Viktor Prasanna
Krishnamachari
24
2
0
02 Sep 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
28
3
0
23 Aug 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
24
0
0
16 Aug 2022
Transformer-based Value Function Decomposition for Cooperative
  Multi-agent Reinforcement Learning in StarCraft
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft
Muhammad Junaid Khan
Syed Hammad Ahmed
G. Sukthankar
26
15
0
15 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep
  Reinforcemen Learning
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
Kai Liu
Tianxian Zhang
L. Kong
36
0
0
07 Aug 2022
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
33
3
0
18 Jul 2022
Meta-Referential Games to Learn Compositional Learning Behaviours
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Denamganai
S. Missaoui
James Alfred Walker
27
1
0
16 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
34
8
0
13 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
45
2
0
12 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
21
6
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
21
2
0
05 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning
Risk Perspective Exploration in Distributional Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Se-Young Yun
14
5
0
28 Jun 2022
Generalized Beliefs for Cooperative AI
Generalized Beliefs for Cooperative AI
Darius Muglich
L. Zintgraf
Christian Schroeder de Witt
Shimon Whiteson
Jakob N. Foerster
22
7
0
26 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
24
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
4
6
0
22 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
29
35
0
20 Jun 2022
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