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- Exploring the performance impact of soft constraint integration on reinforcement learning-based autonomous vessel navigation: Experimental insights
- INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERINGJiang, Xin Li, Jiawen Huang, Zhenkai Huang, Ji Li, Ronghui 出版年：2024
- 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 thei...
- LFLD-CLbased NET: A Curriculum-Learning-Based Deep Learning Network with Leap-Forward-Learning-Decay for Ship Detection
- JOURNAL OF MARINE SCIENCE AND ENGINEERINGLi, Jiawen Sun, Jiahua Li, Xin Yang, Yun Jiang, Xin Li, Ronghui 出版年：2023
- Ship detection in the maritime domain awareness field has seen a significant shift towards deep-learning-based techniques as the mainstream approach. However, most existing deep-learning-based ship detection models adopt...
- Multi-joint adaptive control enhanced reinforcement learning for unmanned ship
- OCEAN ENGINEERINGLi, Jiawen Jiang, Xin Zhang, Hao Wu, Langtao Cao, Liang Li, Ronghui 出版年：2025
- The pursuit of stable and reliable autonomous navigation is a prevailing research focus within the domain of Unmanned Ship technology. This study introduces the Multi-Joint Adaptive Control Enhanced Reinforcement Learnin...
