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Neurorobotic reinforcement learning for domains with parametrical uncertainty

Neuromorphic hardware paired with brain-inspired learning strategies have enormous potential for robot control. Explicitly, these advantages include low energy consumption, low latency, and adaptability. Therefore, developing and improving learning strategies, algorithms, and neuromorphic hardware i...

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Detalles Bibliográficos
Autores principales: Amaya, Camilo, von Arnim, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642204/
https://www.ncbi.nlm.nih.gov/pubmed/37965072
http://dx.doi.org/10.3389/fnbot.2023.1239581