Kernel Temporal Differences for Neural Decoding

We study the feasibility and capability of the kernel temporal difference (KTD)(λ) algorithm for neural decoding. KTD(λ) is an online, kernel-based learning algorithm, which has been introduced to estimate value functions in reinforcement learning. This algorithm combines kernel-based representation...

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Detalles Bibliográficos
Autores principales: Bae, Jihye, Sanchez Giraldo, Luis G., Pohlmeyer, Eric A., Francis, Joseph T., Sanchez, Justin C., Príncipe, José C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381863/
https://www.ncbi.nlm.nih.gov/pubmed/25866504
http://dx.doi.org/10.1155/2015/481375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381863/
https://www.ncbi.nlm.nih.gov/pubmed/25866504
http://dx.doi.org/10.1155/2015/481375

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