Exploring the performance impact of soft constraint integration on reinforcement learning-based autonomous vessel navigation: Experimental insights

Reinforcement learning has shown promise in enabling autonomous ship navigation, allowing vessels to adapt and make informed decisions in complex marine environments. However, the integration of soft constraints and their impact on performance in RL-based autonomous vessel navigation research remain...

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Bibliographic Details
Main Authors: Xin Jiang, Jiawen Li, Zhenkai Huang, Ji Huang, Ronghui Li
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:International Journal of Naval Architecture and Ocean Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2092678224000281
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