arXiv Machine Learning June 9, 2026 By Elisei Shafer, Oren Gal

Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning

Read the original on arXiv Machine Learning →

arXiv:2606. 08513v1 Announce Type: cross Abstract: Autonomous Underwater Vehicles (AUVs) traditionally rely on complex, heavily engineered pipelines for perception, path planning, and motion control.

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