Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart

Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart

Deep Reinforcement Learning (DRL)-based algorithms have demonstrated substantial effectiveness in tackling complex control problems for autonomous underwater vehicles (AUVs). This paper attempts to evaluate reinforcement learning (RL)-based methods for AUV trajectory planning by incorporating a mode...

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Bibliographic Details
Main Authors: Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
Deep Reinforcement Learning
path planning
AUV model
path optimization
Online Access:https://www.mdpi.com/2076-3417/15/11/6081
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