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Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning
With the rapid development of autonomous driving technology, both self-driven and human-driven vehicles will share roads in the future and complex information exchange among vehicles will be required. Therefore, autonomous vehicles need to behave as similar to human drivers as possible, to ensure th...
Autores principales: | Wu, Zheng, Qu, Fangbing, Yang, Lin, Gong, Jianwei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227206/ https://www.ncbi.nlm.nih.gov/pubmed/35746281 http://dx.doi.org/10.3390/s22124500 |
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