Ship global path planning based on improved DQN algorithm

Wei GUAN; Sheng QU; Xianku ZHANG; Tongbo HU

doi:10.19693/j.issn.1673-3185.03866

Journals >Chinese Journal of Ship Research >Volume 20 >Issue 1 >Page 107 > Article

Chinese Journal of Ship Research
Vol. 20, Issue 1, 107 (2025)

Ship global path planning based on improved DQN algorithm

Wei GUAN, Sheng QU, Xianku ZHANG, and Tongbo HU

Author Affiliations

Navigation College, Dalian Maritime University, Dalian 116026, China

show less

DOI: 10.19693/j.issn.1673-3185.03866 Cite this Article

Wei GUAN, Sheng QU, Xianku ZHANG, Tongbo HU. Ship global path planning based on improved DQN algorithm[J]. Chinese Journal of Ship Research, 2025, 20(1): 107 Copy Citation Text

show less

References

[4] L S LIU, B WANG, H XU. Research on path-planning algorithm integrating optimization A-star algorithm and artificial potential field method. Electronics, 11, 3660(2022).

[5] J K WANG, W Z CHI, C M LI et al. Neural RRT*: learning-based optimal path planning. IEEE Transactions on Automation Science and Engineering, 17, 1748-1758(2020).

[10] S ARADI. Survey of deep reinforcement learning for motion planning of autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 23, 740-759(2020).

Wei GUAN, Sheng QU, Xianku ZHANG, Tongbo HU. Ship global path planning based on improved DQN algorithm[J]. Chinese Journal of Ship Research, 2025, 20(1): 107

Download Citation

Tools

Save the article for my favorites

Paper Information

微信扫一扫：分享

微信扫一扫：分享