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Reinforcement learning control of a biomechanical model of the upper extremity

Among the infinite number of possible movements that can be produced, humans are commonly assumed to choose those that optimize criteria such as minimizing movement time, subject to certain movement constraints like signal-dependent and constant motor noise. While so far these assumptions have only...

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Detalles Bibliográficos
Autores principales:	Fischer, Florian, Bachinski, Miroslav, Klar, Markus, Fleig, Arthur, Müller, Jörg
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280157/ https://www.ncbi.nlm.nih.gov/pubmed/34262081 http://dx.doi.org/10.1038/s41598-021-93760-1

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