Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments

Biologically plausible models of learning may provide a crucial insight for building autonomous intelligent agents capable of performing a wide range of tasks. In this work, we propose a hierarchical model of an agent operating in an unfamiliar environment driven by a reinforcement signal. We use te...

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Detalles Bibliográficos
Autores principales: Dzhivelikian, Evgenii, Latyshev, Artem, Kuderov, Petr, Panov, Aleksandr I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976870/
https://www.ncbi.nlm.nih.gov/pubmed/35366128
http://dx.doi.org/10.1186/s40708-022-00156-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976870/
https://www.ncbi.nlm.nih.gov/pubmed/35366128
http://dx.doi.org/10.1186/s40708-022-00156-6

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