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Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity.

, , , , , and . GLOBECOM, page 6553-6558. IEEE, (2022)

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Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning., , , and . ICC Workshops, page 1014-1019. IEEE, (2023)Optimization of Key Devices Positions in Large-Scale RF Mesh Networks., , , , , and . PE-WASUN, page 67-72. ACM, (2019)Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning., , , , , , and . ICC, page 5285-5290. IEEE, (2023)Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity., , , , , and . GLOBECOM, page 6553-6558. IEEE, (2022)Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN)., , and . CoRR, (2020)Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning., , , , and . PIMRC, page 1-6. IEEE, (2023)Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach., , , , , , , and . CoRR, (2024)Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity., , , , , and . CoRR, (2023)Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments., , , , , , , and . ICC, page 100-105. IEEE, (2023)Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN)., , , , and . Sensors, 22 (14): 5375 (2022)