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Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach.

, , , , and . IEEE Trans. Veh. Technol., 70 (10): 10986-10998 (2021)

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Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs., , , , and . IEEE Netw. Lett., 2 (3): 106-110 (2020)Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-Physical Systems., , , , , , and . CoRR, (2019)Joint Communication Scheduling and Velocity Control in Multi-UAV-Assisted Sensor Networks: A Deep Reinforcement Learning Approach., , , , and . IEEE Trans. Veh. Technol., 70 (10): 10986-10998 (2021)Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-physical Systems., , , , , , and . ACM Trans. Cyber Phys. Syst., 4 (2): 22:1-22:20 (2020)Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks.. CoRR, (2023)Data-Driven Flight Control of Internet-of-Drones for Sensor Data Aggregation Using Multi-Agent Deep Reinforcement Learning., , , and . IEEE Wirel. Commun., 29 (4): 18-23 (2022)Buffer-Aware Scheduling for UAV Relay Networks with Energy Fairness., , and . VTC Spring, page 1-5. IEEE, (2020)Privacy-preserving control message dissemination for PVCPS: poster abstract., , and . IPSN, page 301-302. ACM, (2019)AoI Minimization Using Multi-Agent Proximal Policy Optimization in UAVs-Assisted Sensor Networks., , , and . ICC, page 228-233. IEEE, (2023)Deep Q-Networks for Aerial Data Collection in Multi-UAV-Assisted Wireless Sensor Networks., , , , and . IWCMC, page 669-674. IEEE, (2021)