Score breakdown

End-to-End Training of Deep Visuomotor Policies

paper-0083 · paper · 2016

Sergey Levine et al.

Pixels-to-torques; deep learning enters robotic control.

Academic, score -0.1890

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent1715.00.0077150.50.003858OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent10.00.6428570.050.032143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0587

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent1715.00.0077150.20.001543OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent10.00.6428570.40.257143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2588

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent1715.00.0077150.250.001929OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent10.00.6428570.10.064286OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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