Developing Generative Adversarial Nets to Extend Training Sets and Optimize Discrete Actions
This study proposes the use of generative adversarial networks (GANs) to solve two crucial problems in the unmanned ship navigation: insufficient training data for neural networks and convergence of optimal actions under discrete conditions. To achieve smart collision avoidance of unmanned ships in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Gdynia Maritime University
2019-12-01
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| Series: | TransNav: International Journal on Marine Navigation and Safety of Sea Transportation |
| Subjects: | |
| Online Access: | http://www.transnav.eu/files/Developing Generative Adversarial Nets to Extend Training Sets and Optimize Discrete Actions,967.pdf |