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docs/tutorials/preferential-optimization.rst
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@@ -5,11 +5,11 @@ What is Preferential Optimization?
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Preferential optimization is a method for optimizing hyperparameters, focusing of human preferences, by determining which trial is superior when comparing a pair.
It differs from `human-in-the-loop optimization utilizing objective form widgets <tutorial-hitl-objective-form-widgets>`_,
It differs from :ref:`human-in-the-loop optimization utilizing objective form widgets <tutorial-hitl-objective-form-widgets>`,
which relies on absolute evaluations, as it significantly reduces fluctuations in evaluators' criteria, thus ensuring more consistent results.
In this tutorial, we'll interactively optimize RGB values to generate a color resembling a "sunset hue",
aligining with the problem setting in `this tutorial <tutorial-hitl-objective-form-widgets>`_.
aligining with the problem setting in :ref:`this tutorial <tutorial-hitl-objective-form-widgets>`.
Familiarity with the tutorial ob objective form widgets may enhance your understanding.
How to Run Preferential Optimization