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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
Reinforcement Learning based Workflow Scheduling in Cloud and Edge
  Computing Environments: A Taxonomy, Review and Future Directions
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
Amanda Jayanetti
Saman K. Halgamuge
Rajkumar Buyya
23
0
0
06 Aug 2024
Collaborative Adaptation for Recovery from Unforeseen Malfunctions in
  Discrete and Continuous MARL Domains
Collaborative Adaptation for Recovery from Unforeseen Malfunctions in Discrete and Continuous MARL Domains
Yasin Findik
Hunter Hasenfus
Reza Azadeh
33
0
0
27 Jul 2024
Relational Q-Functionals: Multi-Agent Learning to Recover from
  Unforeseen Robot Malfunctions in Continuous Action Domains
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains
Yasin Findik
Paul Robinette
Kshitij Jerath
Reza Azadeh
36
1
0
27 Jul 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep
  Reinforcement Learning for Medical Imaging
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Pranab Sahoo
Ashutosh Tripathi
Sriparna Saha
S. Mondal
48
0
0
08 Jul 2024
Simplifying Deep Temporal Difference Learning
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
62
17
0
05 Jul 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent
  Reinforcement Learning
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
Junkai Zhang
Yifan Zhang
Xi Sheryl Zhang
Yifan Zang
Jian Cheng
44
4
0
26 Jun 2024
CuDA2: An approach for Incorporating Traitor Agents into Cooperative
  Multi-Agent Systems
CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems
Zhen Chen
Yong Liao
Youpeng Zhao
Zipeng Dai
Jian Zhao
AAML
30
0
0
25 Jun 2024
A Super-human Vision-based Reinforcement Learning Agent for Autonomous
  Racing in Gran Turismo
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
Miguel Vasco
Takuma Seno
Kenta Kawamoto
K. Subramanian
Peter R. Wurman
Peter Stone
56
6
0
18 Jun 2024
Decentralized Collaborative Pricing and Shunting for Multiple EV
  Charging Stations Based on Multi-Agent Reinforcement Learning
Decentralized Collaborative Pricing and Shunting for Multiple EV Charging Stations Based on Multi-Agent Reinforcement Learning
Tianhao Bu
Hang Li
Guojie Li
28
0
0
17 Jun 2024
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method
  in Multi-Agent Deep Reinforcement Learning
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
Xiaojun Bi
Mingjie He
Yiwen Sun
28
1
0
14 Jun 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical
  Opponent Modeling and Planning
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
Yizhe Huang
Guy Van den Broeck
Fanqi Kong
Yaodong Yang
Song-Chun Zhu
Xue Feng
44
3
0
12 Jun 2024
Carbon Market Simulation with Adaptive Mechanism Design
Carbon Market Simulation with Adaptive Mechanism Design
Han Wang
Wenhao Li
Hongyuan Zha
Baoxiang Wang
35
3
0
12 Jun 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement
  Learning
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li
Zihan Ding
Seth Karten
Chi Jin
40
1
0
04 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
John L. Zhou
Weizhe Hong
Jonathan C. Kao
35
0
0
03 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
48
1
0
30 May 2024
A finite time analysis of distributed Q-learning
A finite time analysis of distributed Q-learning
Han-Dong Lim
Donghwan Lee
OffRL
52
0
0
23 May 2024
Efficient Multi-agent Reinforcement Learning by Planning
Efficient Multi-agent Reinforcement Learning by Planning
Qihan Liu
Jianing Ye
Xiaoteng Ma
Jun Yang
Bin Liang
Chongjie Zhang
35
4
0
20 May 2024
Learning Multi-Agent Communication from Graph Modeling Perspective
Learning Multi-Agent Communication from Graph Modeling Perspective
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
AI4CE
40
21
0
14 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang
Junqiao Zhao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
32
0
0
13 May 2024
FedGCS: A Generative Framework for Efficient Client Selection in
  Federated Learning via Gradient-based Optimization
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
Zhiyuan Ning
Chunlin Tian
Meng Xiao
Wei Fan
Pengyang Wang
Li Li
P. Wang
Yuanchun Zhou
34
7
0
10 May 2024
Ranking-based Client Selection with Imitation Learning for Efficient
  Federated Learning
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning
Chunlin Tian
Zhanying Shi
Xinpeng Qin
Li Li
Chengzhong Xu
FedML
36
2
0
07 May 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent
  Reinforcement Learning
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
Dapeng Li
Hang Dong
Lu Wang
Bo Qiao
Si Qin
...
Dongmei Zhang
Qi Zhang
Zhiwei Xu
Bin Zhang
Guoliang Fan
51
4
0
27 Apr 2024
Bi-CL: A Reinforcement Learning Framework for Robots Coordination
  Through Bi-level Optimization
Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization
Zechen Hu
Daigo Shishika
Xuesu Xiao
Xuan Wang
57
2
0
23 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
39
6
0
22 Apr 2024
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System
  with Efficient Task Offloading
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading
Poorvi Joshi
Alakesh Kalita
Gurusamy Mohan
32
0
0
06 Apr 2024
Do We Really Need a Complex Agent System? Distill Embodied Agent into a
  Single Model
Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model
Zhonghan Zhao
Ke Ma
Wenhao Chai
Xuan Wang
Kewei Chen
Dongxu Guo
Yanting Zhang
Hongwei Wang
Gaoang Wang
45
16
0
06 Apr 2024
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive
  Control Resolution
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde
Peter Werner
Wilko Schwarting
Markus Wulfmeier
Daniela Rus
OffRL
40
4
0
05 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen
Navid Naderializadeh
Alejandro Ribeiro
Shirin Saeedi Bidokhti
180
1
0
04 Apr 2024
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large
  Neighborhoods Search
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search
Weizhe Chen
Sven Koenig
B. Dilkina
39
0
0
03 Apr 2024
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous
  Multiagent Systems
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
Qing Fu
Zhiqiang Pu
Min Chen
Tenghai Qiu
Jianqiang Yi
40
0
0
26 Mar 2024
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
Yiqun Chen
Jiaxin Mao
Yi Zhang
Dehong Ma
Long Xia
Jun Fan
Daiting Shi
Zhicong Cheng
Simiu Gu
Dawei Yin
23
2
0
26 Mar 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
40
4
0
24 Mar 2024
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent
  Navigation
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
Zhonghan Zhao
Kewei Chen
Dongxu Guo
Wenhao Chai
Tianbo Ye
Yanting Zhang
Gaoang Wang
64
21
0
13 Mar 2024
Scaling Team Coordination on Graphs with Reinforcement Learning
Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu
Zechen Hu
Xuan Wang
Daigo Shishika
Xuesu Xiao
31
4
0
09 Mar 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for
  Adaptive Real-Time Subtask Recognition
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
Wenjing Zhang
Wei Zhang
47
0
0
04 Mar 2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent
  Reinforcement Learning
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na
Yunkyeong Seo
IL-Chul Moon
26
7
0
02 Mar 2024
Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural
  Networks
Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural Networks
Tianxu An
Joonho Lee
Marko Bjelonic
Flavio De Vincenti
Marco Hutter
34
2
0
28 Feb 2024
HKD-SHO: A hybrid smart home system based on knowledge-based and
  data-driven services
HKD-SHO: A hybrid smart home system based on knowledge-based and data-driven services
Mingming Qiu
Elie Najm
Rémi Sharrock
Bruno Traverson
24
1
0
15 Feb 2024
Non-orthogonal Age-Optimal Information Dissemination in Vehicular
  Networks: A Meta Multi-Objective Reinforcement Learning Approach
Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach
A. A. Habob
Hina Tabassum
Omer Waqar
11
2
0
15 Feb 2024
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning
  for Digital Twins
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins
Eslam Eldeeb
Houssem Sifaou
Osvaldo Simeone
M. Shehab
Hirley Alves
OffRL
50
3
0
13 Feb 2024
Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL
  with Continuous Action Domains
Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains
Yasin Findik
S. Ahmadzadeh
OffRL
30
4
0
12 Feb 2024
Learning the Expected Core of Strictly Convex Stochastic Cooperative
  Games
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Nam-Phuong Tran
T. Ta
Richard Willis
Debmalya Mandal
Yali Du
Long Tran-Thanh
22
0
0
10 Feb 2024
Fully Independent Communication in Multi-Agent Reinforcement Learning
Fully Independent Communication in Multi-Agent Reinforcement Learning
Rafael Pina
V. D. Silva
Corentin Artaud
Xiaolan Liu
32
4
0
26 Jan 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV)
  Trajectory Design for 3D UAV Tracking
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Yujiao Zhu
Ming Chen
Sihua Wang
Ye Hu
Yuchen Liu
Changchuan Yin
18
5
0
22 Jan 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective
  Engagement and Evidence-Driven Integration
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
Chuxiong Sun
Zehua Zang
Jiabao Li
Jiangmeng Li
Xiao Xu
Rui Wang
Changwen Zheng
22
8
0
19 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable
  Markov Decision Processes
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland
Giovanni Montana
48
3
0
16 Jan 2024
AgentMixer: Multi-Agent Correlated Policy Factorization
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
Joni Pajarinen
OffRL
48
1
0
16 Jan 2024
CycLight: learning traffic signal cooperation with a cycle-level
  strategy
CycLight: learning traffic signal cooperation with a cycle-level strategy
Gengyue Han
Xiaohan Liu
Xianyue Peng
Hao Wang
Yu Han
14
6
0
16 Jan 2024
A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic
  6G-Based Applications
A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications
Hamidreza Mazandarani
Masoud Shokrnezhad
T. Taleb
23
6
0
12 Jan 2024
Contrastive learning-based agent modeling for deep reinforcement
  learning
Contrastive learning-based agent modeling for deep reinforcement learning
Wenhao Ma
Yu-Cheng Chang
Jie Yang
Yu-Kai Wang
Chin-Teng Lin
OffRL
32
0
0
30 Dec 2023
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