Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making

Classic reinforcement learning (RL) theories cannot explain human behavior in the absence of external reward or when the environment changes. Here, we employ a deep sequential decision-making paradigm with sparse reward and abrupt environmental changes. To explain the behavior of human participants...

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Detalles Bibliográficos
Autores principales: Xu, He A., Modirshanechi, Alireza, Lehmann, Marco P., Gerstner, Wulfram, Herzog, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205159/
https://www.ncbi.nlm.nih.gov/pubmed/34081705
http://dx.doi.org/10.1371/journal.pcbi.1009070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205159/
https://www.ncbi.nlm.nih.gov/pubmed/34081705
http://dx.doi.org/10.1371/journal.pcbi.1009070

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