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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Detalles Bibliográficos
Autores principales: Vasilaki, Eleni, Frémaux, Nicolas, Urbanczik, Robert, Senn, Walter, Gerstner, Wulfram
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778872/
https://www.ncbi.nlm.nih.gov/pubmed/19997492
http://dx.doi.org/10.1371/journal.pcbi.1000586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778872/
https://www.ncbi.nlm.nih.gov/pubmed/19997492
http://dx.doi.org/10.1371/journal.pcbi.1000586

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