Dynamic Target Tracking of Autonomous Underwater Vehicle Based on Deep Reinforcement Learning

Due to the unknown motion model and the complexity of the environment, the problem of target tracking for autonomous underwater vehicles (AUVs) became one of the major difficulties in model-based controllers. Therefore, the target tracking task of AUV is modeled as a Markov decision process (MDP) wi...

Full description

Bibliographic Details
Main Authors: Jiaxiang Shi, Jianer Fang, Qizhong Zhang, Qiuxuan Wu, Botao Zhang, Farong Gao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/10/10/1406