Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient-Reference-Cited by-同舟云学术

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Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient

Published:2024-06 Issue: Volume:147 Page:103977
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Hadi Behnaz^ORCID,Khosravi Alireza,Sarhadi Pouria

Publisher

Elsevier BV

Reference39 articles.

1. Reinforcement learning based obstacle avoidance for autonomous underwater vehicle;Bhopale;J. Marin. Sci. Applic.,2019

2. Reinforcement learning for control: performance, stability, and deep approximators;Buşoniu;Annu. Rev. Control,2018

3. Cooperative Artificial Intelligence for underwater robotic swarm;Cai;Rob. Auton. Syst.,2023

4. Multi-AUV cooperative target search and tracking in unknown underwater environment;Cao;Ocean Eng.,2018

5. Local 2-D path planning of unmanned underwater vehicles in continuous action space based on the twin-delayed deep deterministic policy gradient;Chu;IEEE Transact. Syst. Man Cybernet.: Syst.,2024

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. Three-Dimensional Coverage Path Planning for Cooperative Autonomous Underwater Vehicles: A Swarm Migration Genetic Algorithm Approach;Journal of Marine Science and Engineering;2024-08-11

2. An Improved NSGA-II Algorithm for MASS Autonomous Collision Avoidance under COLREGs;Journal of Marine Science and Engineering;2024-07-20

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