Reinforcement Learning-based Trajectory Optimization for Data Muling with Underwater Mobile Nodes
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DOI: 10.1109/access.2022.3165046
Abstract: This manuscript addresses the trajectory optimization for underwater data muling with mobile nodes. In the underwater data muling scenario, multiple autonomous underwater vehicles (AUVs) explore or sample a mission area and autonomous surface vehicles (ASVs)… read more here.
Keywords: reinforcement learning; underwater; data muling; mobile nodes ... See more keywords