Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning

Active Inference is a recently developed framework for modeling decision processes under uncertainty. Over the last several years, empirical and theoretical work has begun to evaluate the strengths and weaknesses of this approach and how it might be extended and improved. One recent extension is the...

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Detalles Bibliográficos
Autores principales: Hodson, Rowan, Bassett, Bruce, van Hoof, Charel, Rosman, Benjamin, Solms, Mark, Shock, Jonathan P., Smith, Ryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462173/
https://www.ncbi.nlm.nih.gov/pubmed/37645053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462173/
https://www.ncbi.nlm.nih.gov/pubmed/37645053

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