Score breakdown

Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

paper-0111 · paper · 2019

Oriol Vinyals et al.

AlphaStar; RL in a real-time, partially observed strategy game.

Academic, score -0.1887

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3429.00.0154310.50.007715OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent9.00.5714290.050.028571OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0317

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3429.00.0154310.20.003086OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent9.00.5714290.40.228571OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2640

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent3429.00.0154310.250.003858OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent9.00.5714290.10.057143OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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