velocitatem/PHANTOM
1
0
Fork 0
mirror of https://github.com/velocitatem/PHANTOM.git synced 2026-07-16 01:53:37 +00:00
Code Issues Packages Projects Releases Wiki Activity

fixing grammar

Browse Source
This commit is contained in:
Daniel Rosel
2026-04-09 20:19:39 +02:00
parent 51de0cbdc5
commit 3eea137f49
3 changed files with 5 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
paper/src/chapters/03-methodology.tex
View File

@@ -504,9 +504,10 @@ The inner minimization selects the contamination candidate that makes the penali
For the baseline engine reported here, we intentionally use the constant query-tax surrogate to keep the mechanism minimal:
\begin{equation}
r_t = \ldots - \lambda\,f(\tau_t')\,c_{\text{info}}
\label{eq:baseline_step_reward}
r_t = R\!\left(p_t,\hat{Q}_t\right) - \lambda\,f(\tau_t')\,c_{\text{info}} - \eta_{\text{ux}}\,\text{UX}(\tau_t', p_t)
\end{equation}
with fixed $c_{\text{info}}>0$.
with fixed $c_{\text{info}}>0$, matching the leakage term $\text{COI}_{\text{leak}}=f(\tau_t')\,c_{\text{info}}$ and the user-experience penalty already introduced in~\eqref{eq:robust_policy}.
Another possible extension is to adapt the ambiguity radius online, e.g., $\epsilon(\Delta_H)$, so the Wasserstein ball changes with live divergence. We keep this as future work and retain a fixed-radius setup because Wasserstein ambiguity already handles heavy-tail and ``black swan'' behavior without absolute continuity assumptions \parencite{kuhn_wasserstein_2024}.