Deep reinforcement learning for integrated vessel path planning with safe anchorage allocation
This study addresses vessel path planning and anchorage allocation through a reinforcement learning approach. To improve maritime safety and efficiency, we developed an integrated system that combines Deep Q-Network and Artificial Potential Field concepts for path generation. The model implements a...
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| Main Authors: | Gil-Ho Shin, Hyun Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering and Naval Architecture
2025-01-01
|
| Series: | Brodogradnja |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/480772 |
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