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Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles

The exploration of the underwater environments has recently accelerated with the development of the Autonomous Underwater Vehicle (AUV). One of the key elements for enhancing the autonomy of AUVs navigation across various applications is efficient path planning. Reinforcement Learning (RL) methods h...

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Bibliografiska uppgifter
Huvudupphov: Elena Politi, Artemis Stefanidou, Christos Chronis, George Dimitrakopoulos, and Iraklis Varlamis
Materialtyp: Artigo
Språk:Inglês
Utgiven: IEEE 2024-01-01
Serie:IEEE Access
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Länkar:https://ieeexplore.ieee.org/document/10770217/
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