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Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Modeling human motor control and predicting how humans will move in novel environments is a grand scientific challenge. Researchers in the fields of biomechanics and motor control have proposed and evaluated motor control models via neuromechanical simulations, which produce physically correct motio...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365920/ https://www.ncbi.nlm.nih.gov/pubmed/34399772 http://dx.doi.org/10.1186/s12984-021-00919-y |