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Updated: Jun 9, 2025

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噪音决斗双深Q网络算法用于自主水下车辆路径规划.

Xu Liao1,2, Le Li2, Chuangxia Huang1,3

  • 1School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, Hunan, China.

Frontiers in neurorobotics
|October 29, 2024
PubMed
概括

这项研究引入了一种新的算法,Noisy Dueling Double Deep Q-Network (ND3QN),用于增强自动水下车辆 (AUV) 路径规划. 在复杂的海洋环境中,ND3QN提高了成功率并减少了旅行时间.

关键词:
这是一个AUV,AUVV.ND3QNN ND3QNN ND3QNN ND3QNN ND3QNN ND3QN深度强化学习的学习.噪音网络 噪音网络路径规划路径规划路径规划

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