The sparse-reward excuse is an authoring problem
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Every eval conversation I've had this year hits the same wall. Someone wants to measure an agent on a long-horizon task — 40, 60, 100 steps — and someone else says you can't score that densely. Grading every step means a human or a judge model reading the whole trajectory, and that's expensive, slo…
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- 2026-10-14 14:37 · DEV Community — AI
The sparse-reward excuse is an authoring problem