Cargando…
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces
Free-energy based reinforcement learning (FERL) was proposed for learning in high-dimensional state- and action spaces, which cannot be handled by standard function approximation methods. In this study, we propose a scaled version of free-energy based reinforcement learning to achieve more robust an...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2013
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584292/ https://www.ncbi.nlm.nih.gov/pubmed/23450126 http://dx.doi.org/10.3389/fnbot.2013.00003 |