Multiagent Systems: A Survey from a Machine Learning Perspective
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Items 701–800 of 1,001
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- Collaborating and Learning Predators on a Pursuit ScenarioNugroho Fredivianus, Urban Richter, Hartmut Schmeck · 2010 · IFIP International Federation for Information Processing/IFIP
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- Serious Gaming Learning: Supply Chain Multi-Agent Web-based Simulation GameAyman Tobail, John Crowe, Amr Arisha · 2012 · Arrow - TU Dublin (Technological University Dublin)
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- Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systemsVineet Nagrath, Olivier Morel, Aamir Saeed Malik, Muhammad Naufal Bin muhammad Saad, Fabrice Mériaudeau · 2015 · Peer-to-Peer Networking and Applications
- Learning and coordination: An overviewMyriam Abramson, Ranjeev Mittu · 2011 · International Conference on Collaboration Technologies and Systems (CTS)
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- Path planning in unknown environment with kernel smoothing and reinforcement learning for multi-agent systemsDavid Luviano Cruz, Wen Yu · 2015 · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
- Expanding the Control Scope of Cooperative Multiple RobotsShibata Ko, Munehiro Takimoto, Yasushi Kambayashi · 2014 · Advances in intelligent systems and computing
- Cost-Strategy Recognition Method for Behavior Learning: Two Players Learning SimultaneouslyNeha Satak, John E. Hurtado · 2014 · AIAA Aerospace Sciences Meeting
- Identification of players' positions in a multi-agent game using artificial neural networks and C4.5 algorithm: A comparative studyRuba Obiedat, Mohammad Reza Faisal, Hossam Faris, Osama Harfoushi, Saham A. Nawafleh · 2013 · Scientific Research and Essays
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- On Estimating Action Regret and Learning From It in Route Choice.Gabriel de Oliveira Ramos, Ana L. C. Bazzan · 2016 · International Joint Conference on Artificial Intelligence
- SMS-Based Mobile Botnet Detection Framework Using Intelligent AgentsAbdullah J. Alzahrani, Ali Akbar Ghorbani · 2017 · Journal of Cyber Security and Mobility
- Design of Complex Engineering Systems Using Multiagent CoordinationNicolás F. Soria Zurita, Mitchell K. Colby, Irem Y. Tumer, Christopher Hoyle, Kagan Tumer · 2016 · ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE)
- Distributed event-triggered flocking control of nonlinear multi-agent systemsChaohai Fang, Yijun Zhang, Shen Jenn Huang · 2017 · Chinese Automation Congress
- Mobile Agents for Robot Control based on PSOKoji Oda, Munehiro Takimoto, Yasushi Kambayashi · 2018 · International Conference on Agents and Artificial Intelligence (ICAART)
- A multimetric and multideme multiagent system for multiobjective optimizationJamshid Tamouk, Adnan Acan · 2018 · Computational Intelligence
- Machine Learning in a Multi-Agent System for Distributed Computing ManagementIgor Vyacheslavovich Bychkov, Alexander Gennadevich Feoktistov, Ivan Sidorov, А.В. Еделев, Sergey Gorsky, Roman Olegovich Kostromin · 2018 · International Conference on Information Technology and Nanotechnology (ITNT)
- A New Distributed Reinforcement Learning Approach for Multiagent Cooperation Using Team-mate Modeling and Joint Action GeneralizationWiem Zemzem, Inès Hosni · 2020 · Advances in Science Technology and Engineering Systems Journal
- Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent SystemsLin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou · 2021 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
- Knowledge mobilization: architectures, models and applicationsJuan Gómez‐Romero · 2011 · Institutional Repository of the University of Granada (University of Granada)
- Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug ReactionsChe G. Ngufor · 2014
- GEOMETRIC TASK DECOMPOSITION IN A MULTI-AGENT ENVIRONMENTKaivan Kamali, Dan A. Ventura, A.K. Garga, Soundar R. T. Kumara · 2006 · Applied Artificial Intelligence
- Fielded object networks as a framework for computer intelligenceR. Goncalves, Fernando A. C. Gomide, Ricardo Gudwin · 2002
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- On Learning How to Communicate Over Noisy Channels for Collaborative Tasks.Arsham Mostaani, Osvaldo Simeone · 2018 · arXiv (Cornell University)
- Using Multi-Agent Reinforcement Learning in Auction SimulationsMedet Kanmaz, Elif Sürer · 2020 · arXiv (Cornell University)
- Formal modeling of intrusion detection systemsLionel Nganyewou Tidjon · 2020 · theses.fr (ABES)
- Learning of Emergent Behaviors in Collective Virtual Robots using ANN and Genetic AlgorithmKyung-Dal Cho · 2004 · International Journal of Fuzzy Logic and Intelligent Systems
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- A New Multi-Agent System Consensus Algorithm Inspired by Synchronous Turtle Hatching BehaviorAusten Pallen, Bryan Watson · 2024 · Conference on systems engineering research series
- Teaching LLMs the Nuances of Hospital Funding InstrumentsTapio Pitkäranta · 2025 · Communications in computer and information science
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