BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways

BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways

This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. To address...

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Bibliographic Details
Main Authors: Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
batch informed trees
twin delayed deep deterministic policy gradient
unmanned surface vehicles
deep reinforcement learning
Online Access:https://www.mdpi.com/2076-3417/15/7/3446
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