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Learning to Ascend Stairs and Ramps: Deep Reinforcement Learning for a Physics-Based Human Musculoskeletal Model

This paper proposes to use deep reinforcement learning to teach a physics-based human musculoskeletal model to ascend stairs and ramps. The deep reinforcement learning architecture employs the proximal policy optimization algorithm combined with imitation learning and is trained with experimental da...

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Detalles Bibliográficos
Autores principales: Adriaenssens, Aurelien J. C., Raveendranathan, Vishal, Carloni, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654493/
https://www.ncbi.nlm.nih.gov/pubmed/36366177
http://dx.doi.org/10.3390/s22218479