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Estimating scale-invariant future in continuous time
Natural learners must compute an estimate of future outcomes that follow from a stimulus in continuous time. Critically, the learner cannot in general know a priori the relevant time scale over which meaningful relationships will be observed. Widely used reinforcement learning algorithms discretize...
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| Publicado no: | Neural Comput |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6959535/ https://ncbi.nlm.nih.gov/pubmed/30764739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/neco_a_01171 |
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