Optimizing Pretrained Autonomous Driving Models Using Deep Reinforcement Learning
Vision-based end-to-end navigation systems have shown impressive capabilities, especially when combined with Imitation Learning (IL) and advanced Deep Learning architectures, such as Transformers. One such example is CIL++, a Transformer-based architecture that learns to map navigation states to veh...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2025-07-01
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| Serier: | Applied Sciences |
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| Online adgang: | https://www.mdpi.com/2076-3417/15/15/8411 |
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