An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning

An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning

Deep reinforcement learning (DRL) has excellent performance in continuous control problems and it is widely used in path planning and other fields. An autonomous path planning model based on DRL is proposed to realize the intelligent path planning of unmanned ships in the unknown environment. The mo...

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Bibliographic Details
Main Authors: Siyu Guo, Xiuguo Zhang, Yisong Zheng, Yiquan Du
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
unmanned ships
deep reinforcement learning
ddpg
autonomous path planning
end-to-end
collision avoidance
Online Access:https://www.mdpi.com/1424-8220/20/2/426

Internet

https://www.mdpi.com/1424-8220/20/2/426

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