The Role of Multiple Neuromodulators in Reinforcement Learning That Is Based on Competition between Eligibility Traces

The ability to maximize reward and avoid punishment is essential for animal survival. Reinforcement learning (RL) refers to the algorithms used by biological or artificial systems to learn how to maximize reward or avoid negative outcomes based on past experiences. While RL is also important in mach...

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Detalles Bibliográficos
Autores principales: Huertas, Marco A., Schwettmann, Sarah E., Shouval, Harel Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156839/
https://www.ncbi.nlm.nih.gov/pubmed/28018206
http://dx.doi.org/10.3389/fnsyn.2016.00037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156839/
https://www.ncbi.nlm.nih.gov/pubmed/28018206
http://dx.doi.org/10.3389/fnsyn.2016.00037

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