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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2016
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| Materias: | |
| 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 |