End-to-end sensorimotor control problems of AUVs with deep reinforcement learning

IROS, pp. 5869-5874, 2019.

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Abstract:

This paper studies on sensorimotor control problems of Autonomous Underwater Vehicles (AUVs) using deep reinforcement learning. We design an end-to-end learning architecture mapping original sensor input to continuous control output without referring to the dynamics of vehicles. To avoid difficult and noisy underwater localization, we imp...More

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