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A neural model of hierarchical reinforcement learning

We develop a novel, biologically detailed neural model of reinforcement learning (RL) processes in the brain. This model incorporates a broad range of biological features that pose challenges to neural RL, such as temporally extended action sequences, continuous environments involving unknown time d...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Rasmussen, Daniel, Voelker, Aaron, Eliasmith, Chris
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5500327/
https://ncbi.nlm.nih.gov/pubmed/28683111
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0180234
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