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Human and Machine Learning in Non-Markovian Decision Making

Humans can learn under a wide variety of feedback conditions. Reinforcement learning (RL), where a series of rewarded decisions must be made, is a particularly important type of learning. Computational and behavioral studies of RL have focused mainly on Markovian decision processes, where the next s...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Clarke, Aaron Michael, Friedrich, Johannes, Tartaglia, Elisa M., Marchesotti, Silvia, Senn, Walter, Herzog, Michael H.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4405578/
https://ncbi.nlm.nih.gov/pubmed/25898139
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0123105
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