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Papers matching “deep Q-network” 12

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Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks
2023 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

88

citations
Adaptive Route Planning in the Northeast Passage Using Enhannced Double Deep Q-Networks
2025 International Conference on Machine Learning and Computer Application (ICMLCA) conference-paper Engineering Maritime Navigation and Safety

Kailin Hu, Shuaiyu Yao, Xiaohao Wen, Qinhao Wu

0

citations
Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning
2025 Energy and AI article Engineering Building Energy and Comfort Optimization Open access

Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Dirk Müller

7

citations
Deep Value-Based Reinforcement Learning
2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics

Aske Plaat

3

citations
A Benchmark Study of Deep Reinforcement Learning Algorithms for the Container Stowage Planning Problem
2026 Lecture notes in logistics conference-paper Engineering Maritime Ports and Logistics Open access

Yunqi Huang, Nishith Chennakeshava, Alexis Carras, Wei Liu, Aske Plaat, Yingjie Fan

1

citations
Intelligent Backhaul Link Selection for Traffic Offloading in B5G Networks
2024 IEEE Access article Computer Science Software-Defined Networks and 5G Open access

António J. Morgado, Firooz B. Saghezchi, Pablo Fondo‐Ferreiro, Felipe Gil‐Castiñeira, Jonathan Rodrı́guez

2

citations
A Novel Link Adaptation Approach for URLLC: A DRL-Based Method with OLLA
2024 IEEE Wireless Communications and Networking Conference conference-paper Engineering Advanced Wireless Network Optimization

Wei Gao, Paul Zheng, Yulin Hu, Chao Shen, Anke Schmeink

5

citations
UAV-Assisted MEC System With Mobile Ground Terminals: DRL-Based Joint Terminal Scheduling and UAV 3D Trajectory Design
2024 IEEE Transactions on Vehicular Technology article Engineering UAV Applications and Optimization

Yunfei Gao, Xiaopeng Yuan, Dingcheng Yang, Yulin Hu, Yue Cao, Anke Schmeink

86

citations
Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks
2022 IEEE Vehicular Technology Conference conference-paper Engineering Vehicular Ad Hoc Networks (VANETs)

Yuxin Ji, Xixi Zhang, Yu Wang, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi, +1 more

1

citations
Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system
2020 Energy and Buildings article Engineering Building Energy and Comfort Optimization

Thomas Schreiber, Sören Eschweiler, Marc Baranski, Dirk Müller

66

citations
Application of Reinforcement Learning for the Design and Optimization of Pass Schedules in Hot Rolling
2023 Lecture notes in production engineering conference-paper Engineering Metallurgy and Material Forming

Christian Idzik, Johannes Lohmar, David Benjamin Bailly, G. Hirt

1

citations
Monitoring data-driven Reinforcement Learning controller training: A comparative study of different training strategies for a real-world energy system
2021 Energy and Buildings article Engineering Building Energy and Comfort Optimization

Thomas Schreiber, Christoph Netsch, Marc Baranski, Dirk Müller

22

citations

12 results