This condition is typically met by standard tabular machine learning algorithms

The only requirement for the machine learning method is that it satisfies a fairness constraint, ensuring that exchanging an original feature with its knockoff counterpart results solely in the corresponding exchange of the model’s importan · 2018

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Where to Intervene: Action Selection in Deep Reinforcement Learning

stat.ML · 2025-07-05 · conditional · novelty 5.0

Knockoff sampling selects the minimal sufficient action set during online deep reinforcement learning with false discovery rate control.

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Where to Intervene: Action Selection in Deep Reinforcement Learning stat.ML · 2025-07-05 · conditional · none · ref 2
Knockoff sampling selects the minimal sufficient action set during online deep reinforcement learning with false discovery rate control.

This condition is typically met by standard tabular machine learning algorithms

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