Sim2Val adapts control variates and prediction-powered inference to robot validation, using correlated simulator outputs to reduce the real-world sample count needed for a given confidence interval.
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Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
Sim2Val adapts control variates and prediction-powered inference to robot validation, using correlated simulator outputs to reduce the real-world sample count needed for a given confidence interval.