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How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers
Learning from only real-world collected data can be unrealistic and time consuming in many scenario. One alternative is to use synthetic data as learning environments to learn rare situations and replay buffers to speed up the learning. In this work, we examine the hypothesis of how the creation of...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905678/ https://www.ncbi.nlm.nih.gov/pubmed/36762255 http://dx.doi.org/10.3389/frai.2023.1098982 |