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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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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2013
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| 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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