Enhancing DRL-based USV navigation with CVAE and gated graph convolutional networks
This thesis introduces a novel Conditional Variational Autoencoder (CVAE) integrated with a Gated Graph Convolutional Network (GatedGCN) for Reinforcement Learning (RL), specifically designed for the complex and dynamic environment of maritime navigation. The CVAE-GatedGCN-RL model is engineered to...
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格式: | Thesis-Master by Coursework |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/181856 |
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機構: | Nanyang Technological University |
語言: | English |