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UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning.

, , , , and . ICAR, page 539-546. IEEE, (2021)

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Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs., , , and . IROS, page 1971-1977. IEEE, (2019)Learning to Generate All Feasible Actions., , , , , and . CoRR, (2023)Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning., , , and . CoRR, (2024)Learning to Generate All Feasible Actions., , , , , and . IEEE Access, (2024)Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning., , , and . IEEE Open J. Commun. Soc., (2021)UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning., , , , and . ICAR, page 539-546. IEEE, (2021)Modeling Planning, Control, and Scheduling of Cyber-Physical Systems for Reinforcement Learning.. Technical University of Munich, Germany, (2024)Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning., , , and . IROS, page 9363-9370. IEEE, (2022)UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach., , , and . GLOBECOM, page 1-6. IEEE, (2020)uavEE: A Modular, Power-Aware Emulation Environment for Rapid Prototyping and Testing of UAVs., , , and . RTCSA, page 217-224. IEEE Computer Society, (2018)