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Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

31 December 2018
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications"

50 / 57 papers shown
Title
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Mohamad Abdul Hady
Siyi Hu
Mahardhika Pratama
Jimmy Cao
Ryszard Kowalczyk
24
0
0
29 Apr 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour
Antoine Vivien
Thomas Chaffre
Matthew Stephenson
Eva Artusi
Paulo E. Santos
Benoit Clement
Karl Sammut
AI4CE
66
0
0
10 Feb 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Ahmed Alagha
Jamal Bentahar
Hadi Otrok
Shakti Singh
R. Mizouni
53
3
0
19 Jan 2025
Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
Ahmed Alagha
R. Mizouni
Shakti Singh
Jamal Bentahar
Hadi Otrok
36
2
0
19 Jan 2025
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Neil De La Fuente
Miquel Noguer i Alonso
Guim Casadellà
36
0
0
31 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
22
2
0
08 Nov 2024
Gradient-based Learning in State-based Potential Games for Self-Learning
  Production Systems
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
Steve Yuwono
Marlon Löppenberg
Dorothea Schwung
Andreas Schwung
26
2
0
14 Jun 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
40
0
0
15 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable
  Collaboration
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
38
4
0
05 Apr 2024
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions
Hung Du
Srikanth Thudumu
Rajesh Vasa
K. Mouzakis
LLMAG
49
8
0
03 Feb 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
23
10
0
18 Dec 2023
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
21
0
0
01 Nov 2023
Bridging the Gap between Newton-Raphson Method and Regularized Policy
  Iteration
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
Zeyang Li
Chuxiong Hu
Yunan Wang
Guojian Zhan
Jie Li
Shengbo Eben Li
27
0
0
11 Oct 2023
Recent Progress in Energy Management of Connected Hybrid Electric
  Vehicles Using Reinforcement Learning
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Mingya Hua
Bin Shuai
Quan Zhou
Jinhai Wang
Yinglong He
Hongming Xu
42
2
0
28 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc
Elie Kadoche
A. Bertoncello
Sébastien Gourvénec
21
2
0
03 Aug 2023
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
24
18
0
12 Jul 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
26
1
0
17 Jun 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural
  Information Principles
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
Xianghua Zeng
Hao Peng
Angsheng Li
19
28
0
03 Apr 2023
The Internet of Senses: Building on Semantic Communications and Edge
  Intelligence
The Internet of Senses: Building on Semantic Communications and Edge Intelligence
Roghayeh Joda
Medhat H. M. Elsayed
H. Abou-zeid
R. Atawia
A. B. Sediq
G. Boudreau
Melike Erol-Kantarci
L. Hanzo
22
11
0
21 Dec 2022
Interactive inference: a multi-agent model of cooperative joint actions
Interactive inference: a multi-agent model of cooperative joint actions
D. Maisto
Francesco Donnarumma
G. Pezzulo
30
15
0
24 Oct 2022
Formation control with connectivity assurance for missile swarm: a
  natural co-evolutionary strategy approach
Formation control with connectivity assurance for missile swarm: a natural co-evolutionary strategy approach
Junda Chen
16
0
0
24 Aug 2022
Cooperative guidance of multiple missiles: a hybrid co-evolutionary
  approach
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach
Xuejing Lan
Junda Chen
Zhijia Zhao
T. Zou
34
7
0
15 Aug 2022
A Contextual Framework for Adaptive User Interfaces: Modelling the
  Interaction Environment
A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment
Mateusz Dubiel
B. Yilma
Kayhan Latifzadeh
Luis A. Leiva
24
2
0
31 Mar 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI
Social Neuro AI: Social Interaction as the "dark matter" of AI
Samuele Bolotta
G. Dumas
21
22
0
31 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information
  Bottleneck in Multi-Agent Reinforcement Learning
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Fei Wu
26
0
0
20 Dec 2021
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT
  Networks by Reinforcement Learning with Sequential Model
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model
Botao Zhu
E. Bedeer
Han Nguyen
Robert Barton
Jérôme Henry
19
29
0
01 Dec 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent
  Reinforcement Learning
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
Xiaoxiao Zhao
Jinlong Lei
Li Li
Jie-bin Chen
OffRL
18
2
0
25 Nov 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot
  Navigation: A Reinforcement Learning Approach
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
Minghao Li
Yingrui Jie
Yang Kong
Hui Cheng
43
9
0
17 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
E. Kargar
Ville Kyrki
16
2
0
02 Sep 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement
  Learning
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
Mateus P. Mota
Álvaro Valcarce
J. Gorce
J. Hoydis
25
39
0
16 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent
  Reinforcement Learning with Information Potential Field Rewards
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li
Bin Guo
Jiangshan Zhang
Jiaqi Liu
Sicong Liu
Zhiwen Yu
Zhetao Li
Liyao Xiang
21
12
0
16 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
M. Guizani
OffRL
AI4TS
20
21
0
05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor
Ilija Bogunovic
Andreas Krause
25
41
0
08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed
  Cooperative-Competitive Environments
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments
Xiaolong Wei
Lifang Yang
Xianglin Huang
Gang Cao
Zhulin Tao
Zhengyang Du
Jing An
26
6
0
11 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
28
86
0
04 May 2021
Two-stage training algorithm for AI robot soccer
Two-stage training algorithm for AI robot soccer
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
21
6
0
13 Apr 2021
Systemic formalisation of Cyber-Physical-Social System (CPSS): A
  systematic literature review
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review
B. Yilma
H. Panetto
Yannick Naudet
11
69
0
11 Apr 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Erik Cambria
OffRL
44
73
0
01 Jan 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
E. Hossain
35
236
0
06 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Competing AI: How does competition feedback affect machine learning?
Competing AI: How does competition feedback affect machine learning?
Antonio A. Ginart
Eva Zhang
Yongchan Kwon
James Zou
AAML
13
0
0
15 Sep 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal
  Sample Complexity
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kaipeng Zhang
Sham Kakade
Tamer Bacsar
Lin F. Yang
47
119
0
15 Jul 2020
Deep Learning for Change Detection in Remote Sensing Images:
  Comprehensive Review and Meta-Analysis
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis
Lazhar Khelifi
M. Mignotte
28
259
0
10 Jun 2020
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven Communication
E. Pesce
Giovanni Montana
24
15
0
12 Feb 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai
Chi Jin
SSL
14
148
0
10 Feb 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu
Jakob N. Foerster
OffRL
16
82
0
04 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaipeng Zhang
Zhuoran Yang
Tamer Basar
55
1,180
0
24 Nov 2019
12
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