Issue 9, Feb 4, 2026

The Perfect Classifier Trap

Senior RL Engineer interview at NVIDIA, and the interviewer asks:

“We trained a classifier to distinguish 𝘎𝘰𝘢𝘭 𝘙𝘦𝘢𝘤𝘩𝘦𝘥 vs. 𝘍𝘢𝘪𝘭𝘦𝘥 using 50 expert demos. It memorized the training set perfectly (100% Accuracy) in 10 epochs. But when we use this classifier as a reward signal, the robot learns absolutely nothing. Why?”

In RL, a reward model that memorizes expert demos creates a step-function objective that guarantees zero learning dynamics.

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