RSIAgent curriculum training lifts agent scores to 74.54%
The wide-then-deep practice order, with a verifier gating what gets saved, is the lever — the 18-point gap suggests task sequencing matters more than adding training data. Builders deploying agents in novel apps can replicate the curriculum-actor-verifier loop without collecting new datasets. It compares directly against the costly collect-and-retrain route that most teams default to today.
