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‘Proactive’ use of cue-context congruence for building reinforcement learning’s reward function
BACKGROUND: Reinforcement learning is a fundamental form of learning that may be formalized using the Bellman equation. Accordingly an agent determines the state value as the sum of immediate reward and of the discounted value of future states. Thus the value of state is determined by agent related...
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Publicado no: | BMC Neurosci |
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Main Authors: | , , , , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
BioMed Central
2016
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5086043/ https://ncbi.nlm.nih.gov/pubmed/27793098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12868-016-0302-7 |
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