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Dynamical Motor Control Learned with Deep Deterministic Policy Gradient

Conventional models of motor control exploit the spatial representation of the controlled system to generate control commands. Typically, the control command is gained with the feedback state of a specific instant in time, which behaves like an optimal regulator or spatial filter to the feedback sta...

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Bibliographische Detailangaben
Veröffentlicht in:Comput Intell Neurosci
Hauptverfasser: Shi, Haibo, Sun, Yaoru, Li, Jie
Format: Artigo
Sprache:Inglês
Veröffentlicht: Hindawi 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5831918/
https://ncbi.nlm.nih.gov/pubmed/29666634
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/8535429
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