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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Udgivet i:Front Synaptic Neurosci
Main Authors: Huertas, Marco A., Schwettmann, Sarah E., Shouval, Harel Z.
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2016
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5156839/
https://ncbi.nlm.nih.gov/pubmed/28018206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsyn.2016.00037
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