Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning

Multi-AUV Collaborative Target Recognition Based on Transfer-Reinforcement Learning

Due to the existence of unfavorable factors such as turbid water quality and target occlusion, it is difficult to obtain valid data of target features. Due to the repeated calculation of similar data, the real-time performance of the algorithm is poor. In view of the above problems, this paper propo...

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Bibliographic Details
Main Authors: Lei Cai, Qiankun Sun, Tao Xu, Yukun Ma, Zhenxue Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Small sample
target recognition
multi-AUV collaboration
reinforcement learning
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9007726/

Internet

https://ieeexplore.ieee.org/document/9007726/

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