Target Search Control of AUV in Underwater Environment With Deep Reinforcement Learning

Target Search Control of AUV in Underwater Environment With Deep Reinforcement Learning

The autonomous underwater vehicle (AUV) is widely used to search for unknown targets in the complex underwater environment. Due to the unpredictability of the underwater environment, this paper combines the traditional frontier exploration method with deep reinforcement learning (DRL) to enable the...

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Bibliographic Details
Main Authors:	Xiang Cao, Changyin Sun, Mingzhong Yan
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Target search frontier exploration deep learning reinforcement learning
Online Access:	https://ieeexplore.ieee.org/document/8764329/

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