Dissociation between asymmetric value updating and perseverance in human reinforcement learning

Abstract The learning rate is a key parameter in reinforcement learning that determines the extent to which novel information (outcome) is incorporated in guiding subsequent actions. Numerous studies have reported that the magnitude of the learning rate in human reinforcement learning is biased depe...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Michiyo Sugawara, Kentaro Katahira
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/bd93cbb47f574d3f9424c9e878b5b931
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!