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Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

Changes of synaptic connections between neurons are thought to be the physiological basis of learning. These changes can be gated by neuromodulators that encode the presence of reward. We study a family of reward-modulated synaptic learning rules for spiking neurons on a learning task in continuous...

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מידע ביבליוגרפי
Main Authors: Vasilaki, Eleni, Frémaux, Nicolas, Urbanczik, Robert, Senn, Walter, Gerstner, Wulfram
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science 2009
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC2778872/
https://ncbi.nlm.nih.gov/pubmed/19997492
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1000586
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