Multiagent Systems: A Survey from a Machine Learning Perspective

Cited by (1,001)

Items 301–400 of 1,001

1. The Collective Advantage for Advancing Communications and Intelligence
   Li, Rongpeng, Zhao, Zhifeng, Xu, Xing, Ni, Fei, Zhang, Honggang · 2020 · IEEE Wireless Communications
2. Transfer Learning for Multiagent Reinforcement Learning Systems
   Felipe Leno da Silva, Anna Helena Reali Costa · 2021 · Synthesis lectures on artificial intelligence and machine learning
3. Decentralized cooperative protection strategy for smart distribution grid using Multi-Agent System
   Matin Jamaliyan Daryani, Alireza Esmaeili Karkevandi · 2018 · International Istanbul Smart Grids and Cities Congress and Fair (ICSG)
4. Real-World Human-Robot Collaborative Reinforcement Learning
   Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
5. Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
   Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff–Popien · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
6. A Novel Approach to Multiagent Reinforcement Learning: Utilizing OLAP Mining in the Learning Process
   Mehmet Kaya, Reda Alhajj · 2005 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
7. Guardrails for Human-AI Ecologies: Norm-Based Coordination and Design for Predictability
   Thomas Grisold, Nicholas Berente, Stefan Seidel · 2025 · MIS Quarterly
8. Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning
   Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan · 2018 · International Joint Conference on Neural Networks (IJCNN)
9. Enhanced multi-agent systems formation and obstacle avoidance (EMAFOA) control algorithm
   Alaa M.H. Aljassani, Suadad Noori Ghani, Ali M.H. Al-Hajjar · 2023 · Results in Engineering
10. A multi-agent dynamic system for robust multi-face tracking
    Lada Maleš, Darijan Marčetić, Samo Ribarič · 2019 · Expert Systems with Applications
11. Learning-based Physical Layer Communications for Multiagent Collaboration
    Arsham Mostaani, Osvaldo Simeone, Symeon Chatzinotas, Björn Ottersten · 2019 · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
12. Adaptable mobile cloud computing environment with code transfer based on machine learning
    Piotr Nawrocki, Bartłomiej Śnieżyński, H. Slojewski · 2019 · Pervasive and Mobile Computing
13. Distributed reinforcement learning for a traffic engineering application
    Mark D. Pendrith · 2000 · Adaptive Agents and Multi-Agents Systems
14. Cooperative Q-learning: the knowledge sharing issue
    Majid Nili Ahmadabadi, Masoud Asadpour, Eiji Nakano · 2001 · Advanced Robotics
15. Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
    Ah‐Hwee Tan, D. Xiao · 2006 · IEEE/WIC/ACM International Conference on Intelligent Agent Technology
16. A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization
    Adnan Acan, Nasser Lotfi · 2016 · Artificial Intelligence Review
17. Analyzing Conflicts with Concept-Based Learning
    Boris A. Galitsky, Sergei O. Kuznetsov, Mikhail V. Samokhin · 2005 · Lecture notes in computer science
18. Learning, Cooperation, and Coordination in Multi-Agent Systems
    H.R. Berenji, David Vengerov · 2000
19. Toward Robotic Sensor Webs: Algorithms, Systems, and Experiments
    Hoam Chung, Songhwai Oh, David Hyunchul Shim, Shankar Sastry · 2011 · Proceedings of the IEEE
20. I-TRUST: investigating trust between users and agents in a multi-agent portfolio management system
    Tiffany Y. Tang, Pinata Winoto, Xiaolin Niu · 2003 · Electronic Commerce Research and Applications
21. Temporal Concurrent Constraint Programming: Applications and Behavior
    Mogens Nielsen, Frank Valencia · 2002 · Lecture notes in computer science
22. Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach
    Weixun Wang, Jianye Hao, Yixi Wang, Matthew Edmund Taylor · 2018 · arXiv (Cornell University)
23. A survey on multiagent reinforcement learning towards multi-robot systems
    Erfu Yang, Dongbing Gu · 2005
24. Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure
    Guannan Qu, Na Li · 2019 · IEEE Conference on Decision and Control (CDC)
25. Effective tag mechanisms for evolving coordination
    Matthew K. Matlock, Sandip Sen · 2007 · Adaptive Agents and Multi-Agents Systems
26. Tree-based data aggregation approach in wireless sensor network using fitting functions
    Ibrahim Atoui, Ali Ahmad, Maguy Medlej, Abdallah Makhoul, Samar Tawbe, Abbas Hijazi · 2016 · International Conference on Digital Information Processing and Communications
27. Learning Teammate Models for Ad Hoc Teamwork
    Samuel Barrett, Peter Stone, Sarit Kraus, Avi Rosenfeld · 2012
28. Smart multi-agent traffic coordinator for autonomous vehicles at intersections
    Imad Lamouik, Ali Yahyaouy, My Abdelouahed Sabri · 2017 · International Conference on Advanced Technologies for Signal and Image Processing
29. Communication in domains with unreliable, single-channel, low-bandwidth communication
    Peter Stone, Manuela Veloso · 1998 · Lecture notes in computer science
30. Towards a team of robots with reconfiguration and repair capabilities
    Curt Bererton, P.K. Khosla · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
31. AI-Driven Manufacturing: Surveying for Industry 4.0 and Beyond
    Arti Bandhana, Jiří Vokřínek · 2025 · Operations Research Forum
32. Multi-agent deep reinforcement learning with type-based hierarchical group communication
    Hao Jiang, Dianxi Shi, Chao Xue, Yajie Wang, Gongju Wang, Yongjun Zhang · 2021 · Applied Intelligence
33. A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement
    Stefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner · 2015 · IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
34. A conceptual framework for cloud-based integration of Virtual laboratories as a multi-agent system approach
    Mehmet Bilgehan Erdem, Alper Kıraz, Hüseyin Eski, Özgür Çiftçi, Cemalettin Kubat · 2016 · Computers & Industrial Engineering
35. Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms
    Jorge Gomes, Pedro Mariano, Anders Lyhne Christensen · 2017 · IEEE Transactions on Evolutionary Computation
36. A Multi-Agent Based Intelligent Training System for Unmanned Surface Vehicles
    Wei Han, Bing Zhang, Qianyi Wang, Jun Ting Luo, Weizhi Ran, Xu Yang · 2019 · Applied Sciences
37. Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring
    Edmundo Guerra, Yolanda Bolea, Javier Gámiz, Antoni Grau · 2020 · Sensors
38. A Multi-Agent NILM Architecture for Event Detection and Load Classification
    André Eugênio Lazzaretti, Douglas P. B. Renaux, Carlos R. Erig Lima, Bruna Machado Mulinari, Hellen Cristina Ancelmo, Elder Oroski, Fabiana Pöttker, Robson Ribeiro Linhares, Lucas da Silva Nolasco, Lucas Tokarski Lima et al. · 2020 · Energies
39. Fast multi-level adaptation for interactive autonomous characters
    Jonathan Dinerstein, Parris K. Egbert · 2005 · ACM Transactions on Graphics
40. Modular Fuzzy-Reinforcement Learning Approach With Internal Model Capabilities for Multiagent Systems
    Mehmet Kaya, Reda Alhajj · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
41. Evolving visibly intelligent behavior for embedded game agents
    Risto P Miikkulainen, Bobby D. Bryant · 2006 · Texas ScholarWorks (Texas Digital Library)
42. COOPERATIVE LEARNING IN MULTI-AGENT SYSTEMS FROM INTERMITTENT MEASUREMENTS∗
    Naomi Ehrich Leonard, Leonard, Alex Olshevsky · 2016
43. Multi-Agent Reinforcement Learning Approaches for Distributed Job-Shop Scheduling Problems
    Thomas Gabel · 2009 · Scientific Publication Server (Frankfurt University of Applied Sciences)
44. Modelo Predictivo Multivariable En Tiempo Real Para Predecir El Desempeño De Los Estudiantes, En Programas Virtuales De Posgrado, Empleando Inteligencia Artificial
    Juan Carlos Rincon Acuña, Mayerling Vila · 2021 · American Journal of Distance Education
45. Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review
    Rahul Shankar Tade, Swapnil N. Jain, Janhavi T. Satyavijay, Pratham N. Shah, Tejaswi D. Bari, Tanushri M. Patil, Ruhi P. Shah · 2023 · Nano Biomedicine and Engineering
46. Evolving Symmetry for Modular System Design
    Vinod K. Valsalam, Risto P Miikkulainen · 2011 · IEEE Transactions on Evolutionary Computation
47. Distribution of agents in heterogeneous multiagent systems
    Waseem Abbas, Magnus Egerstedt · 2011 · IEEE Conference on Decision and Control (CDC)
48. Cooperative Learning for Spectrum Management in Railway Cognitive Radio Network
    Cheng Wu, Cheng Qi Wang, Jie Sheng, Yiming Wang · 2019 · IEEE Transactions on Vehicular Technology
49. Temporal Concurrent Constraint Programming
    Frank Valencia · 2001 · Lecture notes in computer science
50. AI Agents in Finance and Fintech: A Scientific Review of Agent-Based Systems, Applications, and Future Horizons
    Maryan Rizinski, Dimitar Trajanov · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
51. INTELLIGENT MULTIAGENT COORDINATION BASED ON REINFORCEMENT HIERARCHICAL NEURO-FUZZY MODELS
    LEONARDO FORERO MENDOZA, Marley M. B. R. Vellasco, Karla Figueiredo · 2014 · International Journal of Neural Systems
52. Dynamic distributed constraint optimization using multi-agent reinforcement learning
    Maryam Shokoohi, Mohsen Afsharchi, Hamed Shah Hosseini · 2022 · Soft Computing
53. Traffic Congestion Management as a Learning Agent Coordination Problem
    Kagan Tumer, Zachary T. Welch, Adrian Agogino · 2009 · Advances in mechatronics and mechanical engineering (AMME) book series
54. Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems
    Kagan Turner · 2006 · Springer eBooks
55. MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
    Dmitry Kazhdan, Zohreh Shams, Píetro Lió · 2020 · International Joint Conference on Neural Networks (IJCNN)
56. Actions and agents
    Eduardo Alonso · 2014 · Cambridge University Press eBooks
57. Sharing in teams of heterogeneous, collaborative learning agents
    Christopher M. Gifford, Arvin Agah · 2008 · International Journal of Intelligent Systems
58. A study of FMQ heuristic in cooperative multi-agent games.
    Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat · 2008 · HAL
59. Video analysis of hockey play in selected game situations
    Fahong Li, Robert J. Woodham · 2006 · Image and Vision Computing
60. A homogeneous mobile robot team that is fault-tolerant
    Toshiyuki Yasuda, Kazuhiro Ohkura, Kanji Ueda · 2006 · Advanced Engineering Informatics
61. A novel cooperative communication protocol for QoS provisioning in wireless sensor networks
    Xuedong Liang, Min Chen, Yang Xiao, Ilangko Balasingham, Victor C. M. Leung · 2009 · Testbeds and Research Infrastructures for the DEvelopment of NeTworks and COMmunities
62. MAD-CTI: Cyber Threat Intelligence Analysis of the Dark Web Using a Multi-Agent Framework
    Sayuj Shah, Vijay Krishna Madisetti · 2025 · IEEE Access
63. Learning multi-agent coordination through connectivity-driven communication
    Emanuele Pesce, Giovanni Montana · 2022 · Machine Learning
64. MAS-LSTM: A Multi-Agent LSTM-Based Approach for Scalable Anomaly Detection in IIoT Networks
    Zhenkai Qin, Qining Luo, Xunyi Nong, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong · 2025 · Processes
65. Machine learning for interactive systems and robots
    Heriberto Cuayáhuitl, Martijn van Otterlo, Nina Dethlefs, Lutz Frommberger · 2013
66. Coordinating Distributed Speaking Objects
    Marco Lippi, Marco Mamei, Stefano Mariani, Franco Zambonelli · 2017 · IEEE International Conference on Distributed Computing Systems (ICDCS)
67. The CE-IoT Framework for Green ICT Organizations: The interplay of CE-IoT as an enabler for green innovation and e-waste management in ICT
    George Hatzivasilis, Nikolaos Christodoulakis, Christos Tzagkarakis, Sotiris Ioannidis, Giorgos Demetriou, Konstantinos Fysarakis, Marios Panayiotou · 2019 · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
68. MLIMAS: A Framework for Machine Learning in Interactive Multi-agent Systems
    Khaled M. Khalil, Mohamed H. Abdel-Aziz, Taymour T. Nazmy, Abdel‐Badeeh M. Salem · 2015 · Procedia Computer Science
69. Learning when and how to coordinate
    Cora B. Excelente-Toledo, Nicholas R. Jennings · 2003 · ePrints Soton (University of Southampton)
70. Cooperative multi-agent reinforcement learning for robotic systems: A review
    Derrick Low, Ye Zhou · 2025 · Multiagent and Grid Systems
71. Robotic motion planning for autonomous in-situ construction of building structures
    Cong Zhao, Jianye Chen, Tong Sheng Sun, Wei Fan, Xiaoyan Sun, Yi Shao, Guo Ge, Hailong Wang · 2025 · Automation in Construction
72. An intelligent multi-agent approach for road traffic management systems
    Khaled Abdullah Almejalli, Keshav Prasad Dahal, Alamgir Hossain · 2009 · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications
73. Alternate social theory discovery using genetic programming
    Chathika Gunaratne, Ivan I. Garibay · 2017 · Genetic and Evolutionary Computation Conference (GECCO)
74. Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
    Dongge Han, Wendelin Böhmer, Michael Wooldridge, Alex Rogers · 2019 · Lecture notes in computer science
75. A distributed communication framework for smart Grid control applications based on data distribution service
    Shivam Saxena, Hany E. Z. Farag, Nader A. El-Taweel · 2021 · Electric Power Systems Research
76. Entropy regularized actor-critic based multi-agent deep reinforcement learning for stochastic games
    Dong Hao, Dongcheng Zhang, Qi Shi, Kai Li · 2022 · Information Sciences
77. Learning to cooperate in the Iterated Prisoner’s Dilemma by means of social attachments
    Ana L. C. Bazzan, Ana M. Peleteiro, Juan C. Burguillo · 2011 · Journal of the Brazilian Computer Society
78. A Two-Phase Bio-NER System Based on Integrated Classifiers and Multiagent Strategy
    Lishuang Li, Wenting Fan, Degen Huang · 2013 · IEEE Transactions on Computational Biology and Bioinformatics
79. The Concept of Umwelt Overlap and its Application to Cooperative Action in Multi-Agent Systems
    Maria Isabel Aldinhas Ferreira, Miguel Gama Caldas · 2013 · Biosemiotics
80. Colearning in Differential Games
    John W. Sheppard · 1998 · Machine Learning
81. Set-Points Based Optimal Multi-Agent Coordination for Controlling Distributed Energy Loads
    Jiaming Li, Geoff James, Geoff Poulton · 2009 · IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
82. Advanced technologies in e-tourism
    Pavel Čech, Vladimír Bureš · 2009
83. Autonomous inter-task transfer in reinforcement learning domains
    Matthew Edmund Taylor · 2007 · Texas ScholarWorks (Texas Digital Library)
84. A layered approach to learning coordination knowledge in multiagent environments
    Güray Erus, Faruk Polat · 2007 · Applied Intelligence
85. Air Quality Management Using a Multi‐Agent System
    Elias Kalapanidas, Nikolaos M. Avouris · 2002 · Computer-Aided Civil and Infrastructure Engineering
86. Simulation of a trading multi-agent system
    Pedro Mariano, Alfredo F. Pereira, Luís Miguel Parreira Correia, Rita Almeida Ribeiro, V. Abramov, Nick Szirbik, Jan B. M. Goossenaerts, Tshilidzi Marwala, Philippe De Wilde · 2002 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
87. A new formal model of collaboration by multi-agent systems
    Narjes Khézami, Samir Otmane, Malik Mallem · 2006 · International Conference on Integration of Knowledge Intensive Multi-Agent Systems
88. Distributed Reinforcement Learning for Network Intrusion Response
    Kleanthis Malialis · 2014 · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
89. Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
    Yunlong Lu, Kai Yan · 2020 · arXiv (Cornell University)
90. Group Cognition and Collaborative AI
    Koch, Janin, Oulasvirta, Antti · 2018 · Human–Computer Interaction Series
91. Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study
    Vincent Chieh-Ying Chang, I-Fei Chen · 2023 · Frontiers in Psychology
92. Intelligent wireless resource management in industrial camera systems: Reinforcement Learning-based AI-extension for efficient network utilization
    Géza Szabó, József Pető · 2024 · Computer Communications
93. Cooperative Strategy Learning in Multi-Agent Environment with Continuous State Space
    Jun-yuan Tao, Desheng Li · 2006 · International Conference on Machine Learning and Cybernetics
94. Autonomous Role Assignment in a Homogeneous Multi-Robot System
    Toshiyuki Yasuda, Kazuhiro Ohkura · 2005 · Journal of Robotics and Mechatronics
95. TAMER: Task Allocation in Multi-robot Systems Through an Entity-Relationship Model
    Branko Miloradović, Mirgita Frasheri, Baran Çürüklü, Mikael Ekström, Alessandro V. Papadopoulos · 2019 · Lecture notes in computer science
96. Cooperative Coevolution of Partially Heterogeneous Multiagent Systems
    Jorge Gomes, Pedro Mariano, Anders Lyhne Christensen · 2015 · Repositório do ISCTE-IUL
97. Turning the corner: improved intersection control for autonomous vehicles
    Kurt Dresner, Peter Stone · 2005 · IEEE Intelligent Vehicles Symposium
98. Autonomous Context-Based Service Optimization in Mobile Cloud Computing
    Piotr Nawrocki, Bartłomiej Śnieżyński · 2017 · Journal of Grid Computing
99. Distributed Strategy Adaptation with a Prediction Function in Multi-Agent Task Allocation
    Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio · 2018 · Adaptive Agents and Multi-Agents Systems
100. Analyze traffic forecast for decentralized multi agent system using I-ACO routing algorithm
     V. Gokula Krishnan, N. Sankar Ram · 2018 · Journal of Ambient Intelligence and Humanized Computing