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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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| Publicado en: | Proc Natl Acad Sci U S A |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| Acceso en línea: | 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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