Reinforcement Q-Learning Control With Reward Shaping Function for Swing Phase Control in a Semi-active Prosthetic Knee

In this study, we investigated a control algorithm for a semi-active prosthetic knee based on reinforcement learning (RL). Model-free reinforcement Q-learning control with a reward shaping function was proposed as the voltage controller of a magnetorheological damper based on the prosthetic knee. Th...

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Detalles Bibliográficos
Autores principales: Hutabarat, Yonatan, Ekkachai, Kittipong, Hayashibe, Mitsuhiro, Kongprawechnon, Waree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726251/
https://www.ncbi.nlm.nih.gov/pubmed/33324190
http://dx.doi.org/10.3389/fnbot.2020.565702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726251/
https://www.ncbi.nlm.nih.gov/pubmed/33324190
http://dx.doi.org/10.3389/fnbot.2020.565702

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