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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |