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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

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

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Title
TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning Songze Li Mingxuan Zhang Kang Wei Shouling Ji AAML 83 0 0 11 Jun 2025
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective Yang Zhang Xinran Li Jianing Ye Delin Qu Shuang Qiu Chongjie Zhang Xiu Li Chenjia Bai 47 0 0 27 May 2025
LLM-Powered AI Agent Systems and Their Applications in Industry Guannan Liang Qianqian Tong LLMAG LM&Ro 64 3 0 22 May 2025
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes Ashok Arora Neetesh Kumar 74 0 0 16 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 57 0 0 29 Apr 2025
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging Maria A. Cardei Afsaneh Doryab 128 0 0 02 Mar 2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Giuseppe Paolo Abdelhakim Benechehab Hamza Cherkaoui Albert Thomas Balázs Kégl 96 0 0 21 Feb 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 86 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 106 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 108 3 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 117 1 0 31 Dec 2024
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization Shixuan Liu Yanghe Feng Keyu Wu Guangquan Cheng Jincai Huang Zhong Liu CML 81 7 0 27 Dec 2024
Hierarchical Multi-Agent DRL Based Dynamic Cluster Reconfiguration for UAV Mobility Management Irshad A. Meer Karl-Ludwig Besser Mustafa Özger Dominic Schupke H. Vincent Poor C. Cavdar 99 1 0 05 Dec 2024
A review on Machine Learning based User-Centric Multimedia Streaming Techniques Monalisa Ghosh Chetna Singhal 143 2 0 24 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 96 6 0 08 Nov 2024
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping Chanjuan Liu Jinmiao Cong Bingcai Chen Yaochu Jin Enqiang Zhu 87 1 0 02 Nov 2024
Evolutionary Multi-agent Reinforcement Learning in Group Social Dilemmas Brian Mintz Feng Fu 120 1 0 01 Nov 2024
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control Rohit Bokade Xiaoning Jin 50 1 0 23 Oct 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 128 15 0 19 Aug 2024
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding Alexey Skrynnik Anton Andreychuk Anatolii Borzilov Alexander Chernyavskiy Konstantin Yakovlev Aleksandr I. Panov 87 3 0 20 Jul 2024
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models Yang Zhang Chenjia Bai Bin Zhao Junchi Yan Xiu Li Xuelong Li OffRL 57 2 0 22 Jun 2024
CoDreamer: Communication-Based Decentralised World Models Edan Toledo Amanda Prorok 68 1 0 19 Jun 2024
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems Steve Yuwono Marlon Löppenberg Dorothea Schwung Andreas Schwung 56 3 0 14 Jun 2024
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review Hafez Ghaemi Shirin Jamshidi Mohammad Mashreghi M. N. Ahmadabadi Hamed Kebriaei 106 1 0 10 Jun 2024
On Limitation of Transformer for Learning HMMs Jiachen Hu Qinghua Liu Chi Jin 92 3 0 06 Jun 2024
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations A. M. Ali Aryaman Gupta Hashim A. Hashim OffRL 65 7 0 02 Jun 2024
Efficient Multi-agent Reinforcement Learning by Planning Qihan Liu Jianing Ye Xiaoteng Ma Jun Yang Bin Liang Chongjie Zhang 69 6 0 20 May 2024
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions Chuanneng Sun Songjun Huang D. Pompili LLMAG 114 34 0 17 May 2024
Hierarchical Decision Making Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 64 0 0 15 Apr 2024
Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis M. Yousefi Shadi Farabi Maleki Ali Jafarizadeh Mahya Ahmadpour Youshanlui Aida Jafari Siamak Pedrammehr R. Alizadehsani Ryszard Tadeusiewicz Paweł Pławiak 64 2 0 09 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration Xudong Guo Daming Shi Junjie Yu Wenhui Fan 86 5 0 05 Apr 2024
A Deep Reinforcement Learning Approach for Security-Aware Service Acquisition in IoT Marco Arazzi S. Nicolazzo Antonino Nocera 64 3 0 04 Apr 2024
Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras Haruyuki Nakagawa Yoshitaka Miyatani Asako Kanezaki 33 2 0 08 Feb 2024
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving Wensheng Su Zhenni Li Minrui Xu Jiawen Kang Dusit Niyato Shengli Xie 72 9 0 07 Feb 2024
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems Oubo Ma Yuwen Pu L. Du Yang Dai Ruo Wang Xiaolei Liu Yingcai Wu Shouling Ji AAML 75 4 0 06 Feb 2024
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions Hung Du Srikanth Thudumu Rajesh Vasa K. Mouzakis LLMAG 130 10 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 77 10 0 18 Dec 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 71 0 0 15 Dec 2023
When Mining Electric Locomotives Meet Reinforcement Learning Ying Li Z. Zhu Xiaoqiang Li Chunyu Yang Hao Lu 34 1 0 14 Nov 2023
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments Rafael Pina Corentin Artaud Xiaolan Liu V. D. Silva 51 1 0 05 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 64 0 0 01 Nov 2023
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration Zeyang Li Chuxiong Hu Yunan Wang Guojian Zhan Jie Li Shengbo Eben Li 69 0 0 11 Oct 2023
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem Haider Kamal M. Niazi Hammad Afzal 67 0 0 09 Oct 2023
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning Xiao-Yin Liu Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Hao Li Mei-Jiang Gui Tian-Yu Xiang De-Xing Huang Zeng-Guang Hou OffRL OOD 84 5 0 16 Sep 2023
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing Zhengrong Song Chuan Ma Ming Ding Howard H. Yang Yuwen Qian Xiangwei Zhou 88 2 0 05 Sep 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges Maryam Zare P. Kebria Abbas Khosravi Saeid Nahavandi 90 101 0 05 Sep 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 103 2 0 28 Aug 2023
The Impact of Overall Optimization on Warehouse Automation H. Yoshitake Pieter Abbeel OffRL 119 1 0 11 Aug 2023
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima Xingyu Li Bo Tang AAML 53 0 0 07 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management Rémi Leluc Elie Kadoche A. Bertoncello Sébastien Gourvénec 65 2 0 03 Aug 2023