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Computational evidence for hierarchically structured reinforcement learning in humans

Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine-learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this ability is the use of abstract, hierarchical repres...

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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Eckstein, Maria K., Collins, Anne G. E.
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7703642/
https://ncbi.nlm.nih.gov/pubmed/33229518
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1912330117
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