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Data Efficient Reinforcement Learning for Integrated Lateral Planning and Control in Automated Parking System
Reinforcement learning (RL) is a promising direction in automated parking systems (APSs), as integrating planning and tracking control using RL can potentially maximize the overall performance. However, commonly used model-free RL requires many interactions to achieve acceptable performance, and mod...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766926/ https://www.ncbi.nlm.nih.gov/pubmed/33353153 http://dx.doi.org/10.3390/s20247297 |