‘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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Detalles Bibliográficos
Autores principales: Zsuga, Judit, Biro, Klara, Tajti, Gabor, Szilasi, Magdolna Emma, Papp, Csaba, Juhasz, Bela, Gesztelyi, Rudolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086043/
https://www.ncbi.nlm.nih.gov/pubmed/27793098
http://dx.doi.org/10.1186/s12868-016-0302-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086043/
https://www.ncbi.nlm.nih.gov/pubmed/27793098
http://dx.doi.org/10.1186/s12868-016-0302-7

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