Continuous Control for Autonomous Underwater Vehicle Path Following Using Deep Interactive Reinforcement Learning-Reference-Cited by-同舟云学术

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Continuous Control for Autonomous Underwater Vehicle Path Following Using Deep Interactive Reinforcement Learning

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Learning, Control, and Robotics (MLCR)
language:
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Author:

Zhang Qilei¹,Cheng Chunxi¹,Fang Zheng¹,Jiang Dong¹,He Bo¹,Li Guangliang¹

Affiliation:

1. College of Electronic Engineering, Ocean University of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10036947/10036955/10037128.pdf?arnumber=10037128

Reference36 articles.

1. Task Assignment and Path Planning for Multiple Autonomous Underwater Vehicles Using 3D Dubins Curves †

2. Line-of-sight path following of underactuated marine craft

3. A robust control algorithm for AUV: based on a high order sliding mode

4. Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Terrain-Following Control Method for Autonomous Underwater Vehicles with Single-Beam Sensor Configuration;Journal of Marine Science and Engineering;2024-02-21

2. Research on decision control of unmanned driving based on SAC;2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC);2023-11-17

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