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

Vasilaki, E; Frémaux, N; Urbanczik, R; Senn, W; Gerstner, W (2009). Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS computational biology, 5(12), e1000586. San Francisco, Calif.: Public Library of Science 10.1371/journal.pcbi.1000586

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Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology
UniBE Contributor:	Vasilaki, Eleni
ISSN:	1553-734X
Publisher:	Public Library of Science
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 15:11
Last Modified:	05 Dec 2022 14:22
Publisher DOI:	10.1371/journal.pcbi.1000586
Web of Science ID:	000274229000004
URI:	https://boris.unibe.ch/id/eprint/31400 (FactScience: 195905)