Researching | Collision avoidance path planning of tourist ship based on DDPG algorithm

Chinese Journal of Ship Research, Volume. 16, Issue 6, 19(2021)

Collision avoidance path planning of tourist ship based on DDPG algorithm

Yi ZHOU, Chuanping YUAN, Haicheng XIE, and Jianfeng YANG

Author Affiliations

School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China

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[14] ENJALBERT S, VANDERHAEGEN F. A hybrid reinforced learning system to estimate resilience indicators[J]. Engineering Applications of Artificial Intelligence, 64, 295-301(2017).

[15] SHI Y M, DU J, AHN C R et al. Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality[J]. Automation in Construction, 104, 197-214(2019).

[16] GENDERS W, RAZAVI S. Evaluating reinforcement learning state representations for adaptive traffic signal control[J]. Procedia Computer Science, 130, 26-33(2018).

[19] FUJII Y, TANAKA K. Traffic capacity[J]. The Journal of Navigation, 24, 543-552(1971).

[20] UHLENBECK G E, ORNSTEIN L S. On the theory of the Brownian motion[J]. Physical Review, 36, 823(1930).

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Yi ZHOU, Chuanping YUAN, Haicheng XIE, Jianfeng YANG. Collision avoidance path planning of tourist ship based on DDPG algorithm[J]. Chinese Journal of Ship Research, 2021, 16(6): 19

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Paper Information

Category: Ship Design and Performance

Received: Aug. 3, 2020

Accepted: --

Published Online: Mar. 28, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.02057

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology