Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
Abstract 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 corr...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BMC
2021-08-01
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| Colección: | Journal of NeuroEngineering and Rehabilitation |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1186/s12984-021-00919-y |
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