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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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Detalhes bibliográficos
Main Authors: Vasilaki, Eleni, Frémaux, Nicolas, Urbanczik, Robert, Senn, Walter, Gerstner, Wulfram
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2009
Assuntos:
Acesso em linha: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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