Score breakdown

A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play

paper-0104 · paper · 2018

David Silver et al.

AlphaZero; one algorithm, three games.

Academic, score -0.1849

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3533.00.0158990.50.007949OpenAlexhighlink
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 0.0603

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3533.00.0158990.20.00318OpenAlexhighlink
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 -0.2567

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3533.00.0158990.250.003975OpenAlexhighlink
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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