Adaptive Competence-Boundary Curricula for Countdown with RLOO
This work investigates whether curriculum-based prompt selection can improve sample efficiency for Countdown arithmetic reasoning by focusing training on prompts near the model’s current competence boundary, and introduces an adaptive competence-boundary curriculum for RLOO.
Karishma Aggarwal, Sheng-Yong Niu, Daniel Schreck
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