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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
Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning Yuxiang Chen Jiaping Xiao 48 3 0 01 Aug 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 102 21 0 12 Jul 2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction Junlong Chen Jiawen Kang Minrui Xu Zehui Xiong Dusit Niyato Chuang Chen Abbas Jamalipour Shengli Xie 70 31 0 26 Jun 2023
Do as I can, not as I get Shangfei Zheng Hongzhi Yin Tong Chen Quoc Viet Hung Nguyen Wei Chen Lei Zhao 84 2 0 17 Jun 2023
Genes in Intelligent Agents Fu Feng Jing Wang Xu Yang Xin Geng AI4CE 50 9 0 17 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 117 15 0 17 May 2023
Large Language Model Guided Tree-of-Thought Jieyi Long LM&Ro LRM 62 210 0 15 May 2023
Human Machine Co-adaption Interface via Cooperation Markov Decision Process System Kairui Guo Adrian Cheng Yaqing Li Jun Li Rob Duffield Steven W. Su 36 0 0 03 May 2023
Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li 64 31 0 03 Apr 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 22 3 0 19 Feb 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 125 12 0 21 Dec 2022
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System Xiaoran Wu Zihan Yan Chongjie Zhang Tongshuang Wu 54 2 0 01 Dec 2022
On the Emergence of Cooperation in the Repeated Prisoner's Dilemma Maximilian Schaefer 32 2 0 24 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 60 0 0 02 Nov 2022
Interactive inference: a multi-agent model of cooperative joint actions D. Maisto Francesco Donnarumma G. Pezzulo 43 17 0 24 Oct 2022
Contrastive Multimodal Learning for Emergence of Graphical Sensory-Motor Communication Tristan Karch Yoann Lemesle Romain Laroche Clément Moulin-Frier Pierre-Yves Oudeyer 52 1 0 03 Oct 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control C. Park Won Joon Yun Soyi Jung C. Cordeiro Joongheon Kim 117 13 0 03 Oct 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning Yi-Te Hong Yaochu Jin Yang Tang 66 24 0 20 Sep 2022
Formation control with connectivity assurance for missile swarm: a natural co-evolutionary strategy approach Junda Chen 38 0 0 24 Aug 2022
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach Xuejing Lan Junda Chen Zhijia Zhao T. Zou 60 7 0 15 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning Kai Liu Tianxian Zhang L. Kong 71 0 0 07 Aug 2022
Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems Ruyu Luo Wanli Ni Hui Tian Julian Cheng AI4CE 55 18 0 17 Jul 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 99 27 0 03 May 2022
Distributed Reinforcement Learning for Robot Teams: A Review Yutong Wang Mehul Damani Pamela Wang Yuhong Cao Guillaume Sartoretti 116 22 0 07 Apr 2022
A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment Mateusz Dubiel B. Yilma Kayhan Latifzadeh Luis A. Leiva 31 2 0 31 Mar 2022
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination Derrik E. Asher Anjon Basak Rolando Fernandez P. Sharma Erin G. Zaroukian ... Thomas Mahre Gerardo Galindo Luke Frerichs J. Rogers J. Fossaceca AI4CE 49 5 0 17 Mar 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning Marco Skocaj Lorenzo Mario Amorosa G. Ghinamo Giuliano Muratore Davide Micheli F. Zabini Roberto Verdone 28 14 0 22 Feb 2022
Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation Junya Ikemoto T. Ushio 123 10 0 21 Jan 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control Won Joon Yun Soohyun Park Joongheon Kim Myungjae Shin Soyi Jung David A. Mohaisen Jae-Hyun Kim 54 135 0 15 Jan 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 70 23 0 31 Dec 2021
A Scalable Deep Reinforcement Learning Model for Online Scheduling Coflows of Multi-Stage Jobs for High Performance Computing Xin Wang Hong Shen GNN 13 1 0 21 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Leilei Gan 63 0 0 20 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking Zhanhong Jiang Xian Yeow Lee Sin Yong Tan Kai Liang Tan Aditya Balu Young M. Lee Chinmay Hegde Soumik Sarkar 78 7 0 06 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 103 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 24 3 0 25 Nov 2021
Autonomous Attack Mitigation for Industrial Control Systems John Mern Kyle Hatch Ryan Silva Cameron Hickert Tamim I. Sookoor Mykel J. Kochenderfer AAML 66 7 0 03 Nov 2021
Cooperative Deep $Q$ -learning Framework for Environments Providing Image Feedback Krishnan Raghavan Vignesh Narayanan S. Jagannathan VLM OffRL 53 1 0 28 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration Chao Yu Xinyi Yang Jiaxuan Gao Huazhong Yang Yu Wang Yi Wu 69 30 0 12 Oct 2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem Jingwen Li Yining Ma Ruize Gao Zhiguang Cao Andrew Lim Wen Song Jie Zhang 225 124 0 06 Oct 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 132 60 0 28 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach Minghao Li Yingrui Jie Yang Kong Hui Cheng 53 9 0 17 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization E. Kargar Ville Kyrki 35 2 0 02 Sep 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning Mateus P. Mota Álvaro Valcarce J. Gorce J. Hoydis 73 40 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 29 13 0 16 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 65 23 0 05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 88 41 0 08 Jul 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 74 6 0 07 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 116 97 0 29 Jun 2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration John Mern Kyle Hatch Ryan Silva J. Brush Mykel J. Kochenderfer 49 4 0 09 Jun 2021
A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning Giovanni Granato Emilio Cartoni Federico Da Rold A. Mattera Gianluca Baldassarre SSL 36 1 0 07 Jun 2021