A novel deep reinforcement learning for POMDP-based autonomous ship collision decision-making-Reference-Cited by-同舟云学术

A novel deep reinforcement learning for POMDP-based autonomous ship collision decision-making

Published:2023-08-17 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Xinyu,Zheng Kangjie^ORCID,Wang Chengbo,Chen Jihong,Qi Huaiyuan

Funder

Dalian Science and Technology Innovation Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08908-z.pdf

Reference45 articles.

1. Park HS, Cha C, Jo M (2019) A study on the guidelines for IMO maritime autonomous surface ships (MASS).Proceedings of the korean institute of navigation and port research conference. Korean institute of navigation and port research, pp 137-138

2. Ss JM (1955) Collision at sea. J Navigat 8:261–280

3. Namgung H, Kim JS (2021) Collision risk inference system for maritime autonomous surface ships using COLREGs rules compliant collision avoidance. IEEE Access 9:7823–7835

4. He Y, Li Z, Mou J et al (2021) Collision-avoidance path planning for multi-ship encounters considering ship manoeuvrability and COLREGs. Trans safety Environ 3(2):103–113

5. Zhou Y, Huang J, Wang W et al (2020) A study of the application barriers to the use of autonomous ships posed by the good seamanship requirement of COLREGs. J Navigat 73(3):710–725

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning-based adaptive heuristic for vessel scheduling problem under uncertainty via chance-constrained programming;Computers and Electrical Engineering;2024-10

2. COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making;Knowledge-Based Systems;2024-09

3. Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review;Information;2024-08-21

4. Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety;Ocean & Coastal Management;2024-07

5. Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance;International Journal of Machine Learning and Cybernetics;2024-03-16