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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...

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Bibliografiske detaljer
Main Authors: Elfwing, Stefan, Uchibe, Eiji, Doya, Kenji
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2013
Fag:
Online adgang: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
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