From 2ba5d6d6af4f0085cb3466cfaa7af0a66a702008 Mon Sep 17 00:00:00 2001 From: Daniel Rosel Date: Thu, 9 Apr 2026 17:00:34 +0200 Subject: [PATCH] fixing results --- paper/src/chapters/04-results.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/src/chapters/04-results.tex b/paper/src/chapters/04-results.tex index 1dc220d..2c26b1e 100644 --- a/paper/src/chapters/04-results.tex +++ b/paper/src/chapters/04-results.tex @@ -99,7 +99,7 @@ The Mann-Whitney result ($p<0.001$) confirms that per-session divergence gaps di The first calibration and paired benchmark runs additionally confirm three practical points aligned with the thesis. First, the control loop is reproducible end-to-end (training, evaluation, artifact generation) across algorithms and contamination levels. Second, policy class materially changes price trajectories and resulting COI/revenue profiles under identical environment settings. Third, objective improvements from robustness are regime-dependent in the current baseline, which is consistent with the thesis claim that contamination-aware pricing needs explicit calibration rather than a one-size-fits-all penalty. -We also note that maximizing revenue in isolation can favor aggressive high-price behavior; even in these early runs, the non-robust aggregate shows slightly higher mean COI and margin. For this reason, all subsequent reporting in this thesis is interpreted on a multi-metric basis (objective, revenue, COI, and stability), and not by revenue alone. +We also note that maximizing revenue in isolation can favor aggressive high-price behavior, even in our early runs, the non-robust aggregate shows slightly higher mean COI and margin. For this reason, all subsequent reporting in this thesis is interpreted on a multi-metric basis (objective, revenue, COI, and stability), and not by revenue alone. \subsection{Anomalies}