Table 3 Verification results.

From: Deep reinforcement learning-driven multi-objective optimization and its applications on lighting infrastructure operation and maintenance strategy

Validation metrics

Numerical value

Criteria for DETERMINATION

K-S Test Statistic (D)

0.042 ~ 0.068

D < D₀.₀₅ = 0.094

Fluctuation in the Mean of Regression Increments

 ± 0.01(μ = 0.32)

Coefficient of Variation < 5%

Degenerate Incremental Variance Fluctuation

 ± 0.002(σ2 = 0.0225)

Coefficient of Variation < 5%

Autocorrelation coefficient

[-0.08,0.06]

Falls within the ± 0.052 confidence interval

Model Fit R2

0.92

R2 > 0.85

Real Data Coverage

93.6%

Coverage > 90%