Cargando…

Playing Atari with few neurons: Improving the efficacy of reinforcement learning by decoupling feature extraction and decision making

We propose a new method for learning compact state representations and policies separately but simultaneously for policy approximation in vision-based applications such as Atari games. Approaches based on deep reinforcement learning typically map pixels directly to actions to enable end-to-end train...

Descripción completa

Detalles Bibliográficos
Autores principales: Cuccu, Giuseppe, Togelius, Julian, Cudré-Mauroux, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550197/
https://www.ncbi.nlm.nih.gov/pubmed/34720684
http://dx.doi.org/10.1007/s10458-021-09497-8