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Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks2023 IEEE Transactions on Vehicular Technology article Engineering Vehicular Ad Hoc Networks (VANETs)
Yuxin Ji, Yu Wang, Haitao Zhao, Guan Gui, Haris Gacanin, Hikmet Sari, +1 more
88citations -
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems2024 Journal of Intelligent Manufacturing article Engineering Scheduling and Optimization Algorithms Open access cited by 2 patents
Lea Kaven, Philipp Huke, Amon Göppert, Robert Heinrich Schmitt
43citations -
INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS2025 Bulletin of National Technical University KhPI Series System Analysis Control and Information Technologies article Computer Science Recommender Systems and Techniques Open access
Volodymyr Sokol, Mykhaylo Godlevskyi, Mariia Oleksiivna Bilova, Roman Tupkalenko
1citations -
Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices2024 Scientific Reports article Engineering UAV Applications and Optimization Open access cited by 1 patent
Yunfei Gao, Mingliu Liu, Xiaopeng Yuan, Yulin Hu, Peng Sun, Anke Schmeink
23citations -
LLM-driven design of physics-constrained constitutive models: Two agents are better than one2026 Machine learning for computational science and engineering article Engineering Elasticity and Material Modeling Open access
M. Tacke, M. Busch, Kian Abdolazizi, Jonas Eichinger, Kevin Linka, Roland Can Aydin, +1 more
0citations -
Ein reaktiver Modellierungsansatz für Mensch-Roboter-Kollaboration in Rettungs- und Brandszenarien der Feuerwehr2021 RWTH Publications (RWTH Aachen) article Engineering Robot Manipulation and Learning Open access
Marius Gürtler, Nils Mandischer, Mathias Hüsing, Burkhard J. Corves, Jens Pottebaum, Daniel Roesmann, +1 more
0citations
20 results