Multiagent Systems: A Survey from a Machine Learning Perspective
Cited by (1,001)
Items 801–900 of 1,001
- COMPARING A TRADITIONAL AND A MULTI-AGENT LOAD-BALANCING SYSTEMAndraž Bežek, Matjaž Gams · 2006
- A study of evolution strategy based cooperative behavior in collective agentsMalrey Lee · 2006 · Artificial Intelligence Review
- Artificial wrestling: A dynamical formulation of autonomous agents fighting in a coupled inverted pendula frameworkKatsutoshi YOSHIDA, Shigeki MATSUMOTO, Yoichi Matsue · 2015 · Mechanical Engineering Journal
- Representation of the perceived environment and acquisition of behavior rule for multi-agent systems by Q-learningMengchun Xie · 2009 · International Conference on Autonomous Robots and Agents (ICARA)
- A Methodology for Developing C2 Complex Systems SimulatorKamal Mirzaie, Mehdi N. Fesharaki · 2012
- Ad Hoc Teamwork in Variations of the Pursuit DomainSamuel Barrett, Peter Stone · 2011 · Proceedings of the AAAI Conference on Artificial Intelligence
- Hydraulic Transient Simulation in Networks Using a Multi-Agent Based ApproachJoaquín Izquierdo, Idel Montalvo, Rafael Pérez-García, F. J. Izquierdo · 2011 · Water Distribution Systems Analysis Conference (WDSA)
- Learning Virtual Agents for Decision-Making in Business Simulators.Javier García, Fernando Borrajo, Fernando Fernández · 2010
- PLANS AS A MEANS FOR GUIDING A REINFORCEMENT LEARNERJens Pfau · 2008
- Cross-fertilization of ideas in Collective Intelligence Model (CIM)Saraswathy Shamini Gunasekaran, Salama A. Mostafa, Mohd Sharifuddin Ahmad, Alicia Y. C. Tang · 2016 · International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)
- Prospect Theory Multi-Agent Based Simulations for Non-Rational Route Choice Decision Making ModellingGustavo Kuhn Andriotti · 2009
- Distributed submodular minimization via block-wise updates and communicationsAndrea Testa, Francesco Farina, Giuseppe Notarstefano · 2020 · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
- Route optimization with Q-learningSemiye Demircan, Musa Aydın, Süleyman Savaş DURDURAN · 2008
- A Novel Approach to Programming: Agent Based Software EngineeringDharmendra Kumar Sharma, Wanli Ma, Dat Tran, Mary Anderson · 2006 · Lecture notes in computer science
- Distributed Demand-Side Management in Smart Grid: How Imitation improves power schedulingAntimo Barbato, Antonio Capone, Lin Chen, Fabio Martignon, Stefano Paris · 2015 · International Conference on Communications
- A Cooperation Model Using Reinforcement Learning for Multi-agentMalrey Lee, Jae-Deuk Lee, Hye-Jin Jeong, YoungSoon Lee, Seong-Man Choi, Thomas M. Gatton · 2006 · Lecture notes in computer science
- Emergent behaviour evolution in collective autonomous mobile robotsCătălin Daniel Căleanu, Virgil Tiponuţ, Ivan Bogdanov, Ioan Lie · 2008 · International Conference on Systems
- Evaluation of Agents Interactions in a Context-Aware SystemNayat Sánchez-Pi, David Griol, Javier Carbó, José Manuel Molina · 2013 · Lecture notes in computer science
- Multi-agent based combat simulation and effectiveness evaluation of Long-distance Firepower of TankHongbing Ye, Chun-Liang Chen, Shouhua Chen · 2010 · World Congress on Intelligent Control and Automation
- Learning cooperative object pushing with variable contact pointAbdol Hossein Aminaiee, Majid Nili Ahmadabadi · 2007 · IEEE/ASME International Conference on Advanced Intelligent Mechatronics
- Coordinating many agents in stochastic gamesAna L. C. Bazzan · 2012 · International Joint Conference on Neural Networks (IJCNN)
- Agentes de software: delegando decisões a programasEdmilson Lucena Néri · 2005 · RAE eletrônica
- Scalability in smart grid data flow architecturesCalum D. Cameron, Phil Taylor, Charalampos Patsios · 2014 · International Universities Power Engineering Conference (UPEC)
- Competition Between Reinforcement Learning Methods in a Predator-Prey Grid WorldJacob Schrum · 2008
- Towards a ‘Smart’ Collaborative Virtual Environment and Multi-agent Approach to Designing an Intelligent Virtual AgentNader Hanna, Deborah Richards · 2015 · Lecture notes in computer science
- Reducing the Complexity of Recommender Systems DevelopmentMohamed Elammari, R. Elfrjany · 2012 · International Journal of Computer and Communication Engineering
- Multiagent Social Influence Detection Based on Facial Emotion RecognitionPankaj Mishra, Rafik Hadfi, Takayuki Itō · 2016 · Communications in computer and information science
- Development of an embedded multi-agent software for autonomous robotsYoussef Fathi, Said Benhlima · 2014 · IEEE Congress on Information Science and Technology (CiSt)
- Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and AmbiguityGalina L. Rogova, Roman Ilin · 2019 · International Conference on Information Fusion (FUSION)
- A Logic-Based Agent Modelling Paradigm for Investment in Derivatives MarketsJonathan Waller, Tarun Goel · 2020 · Advances in intelligent systems and computing
- Optimal Trajectory Planning with Dynamic Obstacles Avoidance for Mobile Robots NavigationJaime Arcos-Legarda, Morian Calderon-Diaz · 2020 · Lecture notes in electrical engineering
- Semi-Cooperative Learning in Smart Grid AgentsPrashant P. Reddy · 2013
- Reinforcement Learning for Emergent Behavior Evolution in Complex System-of-SystemsAnitha Murugesan, Ramakrishnan Raman · 2021 · International Conference on Systems
- Exploring the Roles of Agents and Multi-Agent in Image Feature ExtractionShihab Hamad Khaleefah, Salama A. Mostafa, Aida Mustapha, Rozanawati Daraman, Mohammad Faidzul Nasrudin, Shahrinaz Ismail · 2021 · International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)
- Supervised Machine LearningDavid Poole, Alan K. Mackworth · 2017 · Cambridge University Press eBooks
- Multiagent reinforcement learning for strictly constrained tasks based on Reward RecorderLifu Ding, Gangfeng Yan, Jianing Liu · 2022 · International Journal of Intelligent Systems
- Consensus Control of Multi-Agent Systems With Uncertain Communication LinksMina Babahaji, Elnaz Firouzmand, Amir G. Aghdam, Heidar Ali Talebi · 2022 · IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)
- A Multiagent Reinforcement Learning algorithm to solve the Community Detection ProblemMir Mohammad Alipour, Mohsen Abdolhosseinzadeh · 2022 · Signal and Data Processing
- Overview on reinforcement learning of multi-agent gameWenrui Zou · 2023 · Journal of Physics Conference Series
- A Tactical Planning Process in Computer-Generated Forces Team Behavior Within Air Combat Simulations: Concept and First ImplementationsFabian Reinisch, Michael Strohal, Peter Stütz · 2024 · Lecture notes in computer science
- Quantification of transfer in reinforcement learning via regret bounds for learning agentsAdrienne Tuynman, Ronald Ortner · 2026 · Autonomous Agents and Multi-Agent Systems
- Agent-Based Architecture for Multirobot Cooperative Tasks: Design and ApplicationsPatricio Nebot · 2008 · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
- Trust-based Social Mechanism to Counter Deceptive BehaviourLim Choi Keung, Sarah Niukyun Lim Choi Keung · 2011 · Warwick Research Archive Portal (University of Warwick)
- Learning Multi-Agent Control with OROCOSI. Rezola Exteberria · 2009
- Cooperative behavior acquisition mechanism for a multi-robot system based on reinforcement learning in continuous spaceToshiyuki Yasuda, Kazuhiro Ohkura, T. Taura · 2004 · IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)
- Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent SystemYuki Taniguchi, Takeshi Mori, Shin Ishii · 2007 · Lecture notes in computer science
- Developing Agents Populations with EthogeneticsSamuel Landau, Sébastien Picault · 2003 · Lecture notes in computer science
- The design and implementation of a multi-agent architecture to increase coordination efficiency in multi-AUV operationsChris C. Sotzing · 2009 · OpenGrey (Institut de l'Information Scientifique et Technique)
- Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot SystemsToshiyuki Yasuda, Kazuhiro Ohkura · 2007 · Springer eBooks
- Prioritizing Fuzzy Behaviors in Multi-robot Pursuit TeamsBrent E. Eskridge, Dean F. Hougen · 2006 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
- Distributed reinforcement learning for self-reconfiguring modular robotsDaniela L. Rus, Paulina Varshavskaya · 2007 · DSpace@MIT (Massachusetts Institute of Technology)
- Sidekick agents for sequential planning problemsLeslie Pack Kaelbling, Tomás Lozano‐Pérez, Owen Macindoe · 2013
- Robust and autonomous multi-robot cooperation using an artificial immune systemMuhammad Tahir Khan · 2010 · cIRcle (University of British Columbia)
- Enhancing agent-based models with artificial intelligence for complex decision makingShaheen A. Abdulkareem · 2019
- Path Planning GamesYi Li, Yevgeniy Vorobeychik · 2019 · arXiv (Cornell University)
- Energy-based Surprise Minimization for Multi-Agent Value FactorizationKarush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri Lawryshyn · 2020 · arXiv (Cornell University)
- Simultaneous Planning: A Real-Time Planning MethodRamón Brena, Emmanuel Martínez · 2005 · Research in Computing Science
- Enhancing Evacuation Planning through Multi-Agent Simulation and Artificial Intelligence: Understanding Human Behavior in Hazardous EnvironmentsAfnan Alazbah, Khalid Fakeeh, Osama Bassam J. Rabie · 2023 · arXiv (Cornell University)
- GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data InsightsJordan B. Chipka, Chris Moyer, Clay Troyer, Tyler Fuelling, Jeremy H Hochstedler · 2025 · arXiv (Cornell University)
- CLEAN Learning to Improve Coordination and Scalability in Multiagent SystemsChris HolmesParker · 2013
- Multi-Agent Modelling for Distributed Intelligent Decision in Water ManagementIrene Pluchinotta · 2015 · theses.fr (ABES)
- A multi-agent system for the reactive fleet maintenance support planning of a fleet of mobile cyber-physical systems : application to rail transport industryJohn Mbuli · 2019 · theses.fr (ABES)
- Testbed For Intelligent Agent: A surveyAhmed M. Kareem, Ali Obied · 2021 · Journal of Al-Qadisiyah for Computer Science and Mathematics
- The Important Role of Global State for Multi-Agent Reinforcement LearningShuailong Li, Wei Zhang, Yuquan Leng, Xiaohui Wang · 2021 · Future Internet
- Multiagent SystemsDavid Poole, Alan K. Mackworth · 2017 · Cambridge University Press eBooks
- IntroductionArup Kumar Sadhu, Amit Konar · 2020 · Wiley eBooks
- Stochastic GamesAndriy Burkov, Laëtitia Matignon, Brahim Chaib-draa · 2013 · Wiley eBooks
- Multi-Agent Architecture for Enterprise AI OrchestrationDhivya Dhayakar · 2025 · Journal of Computational Analysis and Applications
- Multiagent Approach to Building Digital Twins of CitiesYee Leung · 2026 · Advances in spatial science
- Multi-Agent Collaboration Frameworks for Task-Oriented Large Language ModelsDeepak Gupta, Pallavi Jha, Chanakya Kumar Jha, Latofatoy Nurislomova, Rakhimjon Rajapboyevich Rakhimov, Bekzod Madaminov · 2025 · IEEE International Conference on Emerging Trends in Computing and Communication (ETCOM)
- ARES-SCMasashi Sugimoto · 2026 · Advances in computational intelligence and robotics book series
- Systematic review of reinforcement learning for automated equity portfolio management from single agent to multi agent systemsAditi Kumar Rout, U. Dinesh Acharya, Prakash K. Aithal, Arpita Sharma · 2026 · Discover Computing
- Модель колективного прийняття рішень та метод контекстно- залежної координації агентів штучного інтелекту в управлінні IT проєктами2026 · Ìnformatika, kulʹtura, tehnìka.
- Coordinating Learning Agents for Multiple Resource Job SchedulingKagan Tumer, John W. Lawson · 2010 · Lecture notes in computer science
- Propositions and InferenceDavid Poole, Alan K. Mackworth · 2010 · Cambridge University Press eBooks
- Manufacturing Multiagent System for Scheduling Optimization of Production Tasks Using Dynamic Genetic AlgorithmsMarco A. Fuentes-Huerta, Benito R Fernandez, Erhan Koutanoglu · 2007 · IEEE International Symposium on Assembly and Manufacturing
- Parallel and distributed multi-agent reinforcement learningMehmet Kaya, Ahmet Arslan · 2002 · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
- Thanks for the memory: Cooperative autonomous agent search in uncertain environmentsTrey Hickman · 2010 · Computers in Human Behavior
- Collaborative DFA Learning applied to Grid AdministrationWico Mulder, Ceriel J. H. Jacobs, Maarten van Someren, M. van Erp, Herman Stehouwer, Menno M. van Zaanen · 2009 · UvA-DARE (University of Amsterdam)
- Multiagent Learning Through Indirect EncodingDavid B. D’Ambrosio · 2011 · Journal of International Crisis and Risk Communication Research
- Résolution émergente et collective de problèmes par systèmes multi-agents : principes et applications Collective and emergent problem solving based on multi-agent systems : principles and applicationsJean-Pierre Mano, Marie-Pierre Gleizes, Pierre Glize · 2005
- Learning adversarial reasoning patterns in customer complaintsBoris A. Galitsky, Josep Lluís de la Rosa · 2011 · National Conference on Artificial Intelligence
- Agent Architectures and Hierarchical ControlDavid Poole, Alan K. Mackworth · 2010 · Cambridge University Press eBooks
- Addressing Consumer Demands: A Manufacturing Collaboration Process Using Blockchain for Knowledge RepresentationRicardo Rodrigues Barbosa, Ricardo Santos, Paulo Nováis · 2021 · Lecture notes in networks and systems
- An approximate dynamic programming approach for semi-cooperative multi-agent resource managementAbdeslem Boukhtouta, Jean Berger, Abraham P. George, Warren B. Powell · 2012
- On Multi Agent Coordination in the Presence of Incomplete InformationKrzysztof Skrzypczyk · 2008 · Lecture notes in computer science
- MineralMiner: An active sensing simulation environmentAdam Eck, Leen‐Kiat Soh · 2013 · Multiagent and Grid Systems
- Structure Learning of a Behavior Network for Context Dependent AdaptabilityXiaolin Hu, Ou Li · 2006 · IEEE/WIC/ACM International Conference on Intelligent Agent Technology
- Model-based Reinforcement Learning in Multiagent Systems in Extensive Forms with Perfect InformationAli Akramizadeh, Ahmad Afshar, Mohammad Bagher Menhaj, Samira Jafari · 2010 · IFAC Proceedings Volumes
- A state predictor‐based reinforcement learning systemKunikazu Kobayashi, Koji Nakano, Takashi Kuremoto, Masanao Obayashi · 2010 · Electronics and Communications in Japan
- Trust modeling based on Capra cognitive frameworkKamal Mirzaie, Mehdi N. Fesharaki, Amir Daneshgar · 2012 · Procedia - Social and Behavioral Sciences
- Coordinated learning based on time-sharing tracking framework and Gaussian regression for continuous multi-agent systemsXin Chen, Penghuan Xie, Yong Min He, Min Wu · 2015 · Engineering Applications of Artificial Intelligence
- Corporate semantic web evolutionFatma Chamekh, Guilaine Talens, Danielle Boulanger · 2013 · International Conference on Management of Emergent Digital EcoSystems (MEDES)
- Exploiting ambient information into reactive agent architecturesPanayiotis Stamatis, D Zaharakis Ioannis, Achilles D. Kameas · 2006 · International Conference on Intelligent Environments (IE)
- A Self-adaptive Predictive Policy for Pursuit-evasion GameZhen Luo, Qixin Cao, Yanzheng Zhao · 2008
- Addition of learning to critic agent as a solution to the multi-agent credit assignment problemZahra Rahaie, Hamid Beigy · 2009 · International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control (ICSCCW)
- Modeling Ship Behaviors as an Intelligent Agent for Collision Avoidance SimulationYuhong Liu, Sun Zhi-qiang, Xuanmin Du · 2007 · International Conference on Machine Learning and Cybernetics
- An environment friendly method to generate dynamic transportation routing in a distributed contextDa Xu, Bernard Archimède, Muhammad Ali Memon · 2015 · International Conference on Industrial Engineering and Systems Management
- A multiagent based warning system for pedestrian safetyGao-Ting Jian, Alan Liu, Chang-Han Yu, Pei-Chuan Zhou · 2014 · International Conference on Advanced Robotics and Intelligent Systems (ARIS)
- A Reinforcement Learning Approach Using Reliability for Multi-agent SystemsKazuaki Yamada, Satoru TAKANO · 2013 · Transactions of the Society of Instrument and Control Engineers