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Data · dataset · 2013

Data for the paper: Locally Weighted Least Squares Policy Iteration for Model-free Learning in Uncertain Environments

Listed in DataCite

These data are associated with the evaluations presented in the paper: Locally weighted least squares policy iteration for model-free learning in uncertain environments .

Description

M. Howard and Y. Nakamura. IEEE Int.

Conf. Intelligent Robots and Systems , 2013. The data are generated through numerical simulation, according to the descriptions in Section IV of the paper, and are provided here for the purpose of reproduction studies.

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Inferred from text
Simulation 75%
Provenance · 2 source records, 11 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.74880613 d agoJSON v1
DataCite10.6084/m9.figshare.748806.v113 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].fos:mechanical-engineeringsource · DataCiteconnector:datacite@1.0.0
concepts[method].local:method:simulationenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · DataCiteconnector:datacite@1.0.0
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