Xu, W.; Zhu, X.; Gao, X.; Li, X.; Cao, J.; Ren, X.; Shao, C.
Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field. J. Mar. Sci. Eng. 2024, 12, 1334.
https://doi.org/10.3390/jmse12081334
AMA Style
Xu W, Zhu X, Gao X, Li X, Cao J, Ren X, Shao C.
Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field. Journal of Marine Science and Engineering. 2024; 12(8):1334.
https://doi.org/10.3390/jmse12081334
Chicago/Turabian Style
Xu, Weifeng, Xiang Zhu, Xiaori Gao, Xiaoyong Li, Jianping Cao, Xiaoli Ren, and Chengcheng Shao.
2024. "Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field" Journal of Marine Science and Engineering 12, no. 8: 1334.
https://doi.org/10.3390/jmse12081334
APA Style
Xu, W., Zhu, X., Gao, X., Li, X., Cao, J., Ren, X., & Shao, C.
(2024). Manipulation-Compliant Artificial Potential Field and Deep Q-Network: Large Ships Path Planning Based on Deep Reinforcement Learning and Artificial Potential Field. Journal of Marine Science and Engineering, 12(8), 1334.
https://doi.org/10.3390/jmse12081334
