Загрузка...

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...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: Elfwing, Stefan, Uchibe, Eiji, Doya, Kenji
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2013
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3584292/
https://ncbi.nlm.nih.gov/pubmed/23450126
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2013.00003
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!