Cargando…
Grid Cells, Place Cells, and Geodesic Generalization for Spatial Reinforcement Learning
Reinforcement learning (RL) provides an influential characterization of the brain's mechanisms for learning to make advantageous choices. An important problem, though, is how complex tasks can be represented in a way that enables efficient learning. We consider this problem through the lens of...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2011
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203050/ https://www.ncbi.nlm.nih.gov/pubmed/22046115 http://dx.doi.org/10.1371/journal.pcbi.1002235 |