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

Full text not available from this repository.

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)

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