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Cooperative update of beliefs and state-transition functions in human reinforcement learning

It is widely known that reinforcement learning systems in the brain contribute to learning via interactions with the environment. These systems are capable of solving multidimensional problems, in which some dimensions are relevant to a reward, while others are not. To solve these problems, computat...

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Detalles Bibliográficos
Autores principales: Higashi, Hiroshi, Minami, Tetsuto, Nakauchi, Shigeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881319/
https://www.ncbi.nlm.nih.gov/pubmed/31776353
http://dx.doi.org/10.1038/s41598-019-53600-9