Research on MASS Collision Avoidance in Complex Waters Based on Deep Reinforcement Learning

Research on MASS Collision Avoidance in Complex Waters Based on Deep Reinforcement Learning

The research on decision-making models of ship collision avoidance is confronted with numerous challenges. These challenges encompass inadequate consideration of complex factors, including but not limited to open water scenarios, the absence of static obstacle considerations, and insufficient attent...

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Bibliographic Details
Main Authors: Jiao Liu, Guoyou Shi, Kaige Zhu, Jiahui Shi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Marine Science and Engineering
Subjects:
maritime autonomous surface ship (MASS)
collision avoidance
Dyna-DQN
deep reinforcement learning (DRL)
S-57
Online Access:https://www.mdpi.com/2077-1312/11/4/779

Internet

https://www.mdpi.com/2077-1312/11/4/779

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