updating engine training for training

This commit is contained in:
2026-03-15 21:14:11 +01:00
parent 19b47aa699
commit 52b4dcdce3
13 changed files with 544 additions and 160 deletions

View File

@@ -132,15 +132,15 @@ def evaluate(
shifted_env.close()
shifted_rows.append((tag, alpha, shifted_metrics))
metrics["eval/robust_alpha_low"] = low_alpha
metrics["eval/robust_alpha_high"] = high_alpha
metrics["eval/robust_reward_worst"] = float(
metrics["eval/stress_alpha_low"] = low_alpha
metrics["eval/stress_alpha_high"] = high_alpha
metrics["eval/stress_reward_worst"] = float(
min(row[2]["eval/reward_mean"] for row in shifted_rows)
)
metrics["eval/robust_revenue_worst"] = float(
metrics["eval/stress_revenue_worst"] = float(
min(row[2]["eval/revenue_mean"] for row in shifted_rows)
)
metrics["eval/robust_coi_leakage_worst"] = float(
metrics["eval/stress_coi_leakage_worst"] = float(
max(row[2]["eval/coi_leakage_mean"] for row in shifted_rows)
)
for tag, alpha, shifted_metrics in shifted_rows: