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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...
Autores principales: | Higashi, Hiroshi, Minami, Tetsuto, Nakauchi, Shigeki |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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 |
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