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

31 December 2018

Thanh Thi Nguyen

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

47 / 47 papers shown

Title
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 62 0 0 10 Feb 2025
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 Ahmed Alagha R. Mizouni Shakti Singh Jamal Bentahar Hadi Otrok 29 2 0 19 Jan 2025
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics Neil De La Fuente Miquel Noguer i Alonso Guim Casadellà 33 0 0 31 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 35 0 0 15 Apr 2024
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 Hung Du Srikanth Thudumu Rajesh Vasa K. Mouzakis LLMAG 42 8 0 03 Feb 2024
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 16 10 0 18 Dec 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 19 0 0 01 Nov 2023
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 34 2 0 28 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management Rémi Leluc Elie Kadoche A. Bertoncello Sébastien Gourvénec 19 2 0 03 Aug 2023
Do as I can, not as I get Shangfei Zheng Hongzhi Yin Tong Chen Quoc Viet Hung Nguyen Wei Chen Lei Zhao 24 1 0 17 Jun 2023
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 16 11 0 21 Dec 2022
Interactive inference: a multi-agent model of cooperative joint actions D. Maisto Francesco Donnarumma G. Pezzulo 25 15 0 24 Oct 2022
Formation control with connectivity assurance for missile swarm: a natural co-evolutionary strategy approach Junda Chen 11 0 0 24 Aug 2022
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach Xuejing Lan Junda Chen Zhijia Zhao T. Zou 23 7 0 15 Aug 2022
A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment Mateusz Dubiel B. Yilma Kayhan Latifzadeh Luis A. Leiva 19 2 0 31 Mar 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 17 22 0 31 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
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 Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 16 2 0 25 Nov 2021
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 52 54 0 28 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 25 9 0 17 Sep 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning Mateus P. Mota Álvaro Valcarce J. Gorce J. Hoydis 11 39 0 16 Aug 2021
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 13 12 0 16 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad M. Guizani OffRL AI4TS 15 21 0 05 Aug 2021
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 20 6 0 07 Jul 2021
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 26 86 0 04 May 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 14 6 0 13 Apr 2021
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 Jeffrey M. Ede 27 2 0 04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Erik Cambria OffRL 37 73 0 01 Jan 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 16 236 0 06 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Y. Zou AAML 10 0 0 15 Sep 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity K. Zhang Sham Kakade Tamer Bacsar Lin F. Yang 32 119 0 15 Jul 2020
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis Lazhar Khelifi M. Mignotte 18 258 0 10 Jun 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,177 0 24 Nov 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 38 408 0 11 Aug 2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing Lei Lei Huijuan Xu Xiong Xiong K. Zheng W. Xiang Xianbin Wang 6 51 0 19 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 8 311 0 13 Jun 2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery Ngoc Duy Nguyen Thanh Nguyen S. Nahavandi Asim Bhatti Glenn Guest 13 41 0 14 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 25 549 0 12 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 11 635 0 03 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 595 0 28 Feb 2017