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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
87citations -
Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks2022 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) conference-paper Engineering Vehicular Ad Hoc Networks (VANETs)
Yuxin Ji, Xixi Zhang, Yu Wang, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi, +1 more
1citations -
Day-Ahead Optimization of Pricing and Nudge Strategies for Urban Public Charging Stations Based on Multi-Agent Deep Reinforcement Learning2023 SSRN Electronic Journal preprint Engineering Transportation and Mobility Innovations Open access
Ziqi Zhang, Zhong Chen, Erdem Gümrükcü, Zhenya Ji, Ferdinanda Ponci, Antonello Monti
0citations -
A Heterogeneous Multi-agent Deep Reinforcement Learning Framework for Wireless Power Allocation under Realistic Urban Mobility Models2025 IEEE Global Communications Conference (GLOBECOM) conference-paper Engineering Advanced Wireless Network Optimization
Amna Kopic, Ivan Karetić, Erma Perenda, Firooz B. Saghezchi, Haris GACANIN
0citations -
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems2024 Journal of Intelligent Manufacturing article Engineering Advanced Manufacturing and Logistics Optimization 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 Engineering Advanced Data Processing 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 -
Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning2023 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference-paper Engineering Advanced Wireless Network Optimization
Milad Ganjalizadeh, Hossein Shokri‐Ghadikolaei, Marina Petrova
2citations -
Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning2023 RWTH Publications (RWTH Aachen) conference-paper Engineering Wireless Communication Security Techniques Open access
Wei Zhong Shi, Milad Ganjalizadeh, Hossein Shokri‐Ghadikolaei, Marina Petrova
0citations