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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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Detalhes bibliográficos
Publicado no:BMC Neurosci
Main Authors: Zsuga, Judit, Biro, Klara, Tajti, Gabor, Szilasi, Magdolna Emma, Papp, Csaba, Juhasz, Bela, Gesztelyi, Rudolf
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
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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