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Reinforcement Learning in Multidimensional Environments Relies on Attention Mechanisms
In recent years, ideas from the computational field of reinforcement learning have revolutionized the study of learning in the brain, famously providing new, precise theories of how dopamine affects learning in the basal ganglia. However, reinforcement learning algorithms are notorious for not scali...
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| Publicado en: | J Neurosci |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Society for Neuroscience
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4444538/ https://ncbi.nlm.nih.gov/pubmed/26019331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.2978-14.2015 |
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