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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Detalles Bibliográficos
Autores principales: Clarke, Aaron Michael, Friedrich, Johannes, Tartaglia, Elisa M., Marchesotti, Silvia, Senn, Walter, Herzog, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405578/
https://www.ncbi.nlm.nih.gov/pubmed/25898139
http://dx.doi.org/10.1371/journal.pone.0123105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405578/
https://www.ncbi.nlm.nih.gov/pubmed/25898139
http://dx.doi.org/10.1371/journal.pone.0123105

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