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Uncertainty in learning, choice, and visual fixation
Uncertainty plays a critical role in reinforcement learning and decision making. However, exactly how it influences behavior remains unclear. Multiarmed-bandit tasks offer an ideal test bed, since computational tools such as approximate Kalman filters can closely characterize the interplay between t...
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| Veröffentlicht in: | Proc Natl Acad Sci U S A |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7022187/ https://ncbi.nlm.nih.gov/pubmed/31980535 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1911348117 |
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