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Reap: Uncovering Monte Carlo proof search with a lightweight model

Wang, Yutong et al.
arXiv (All) · Papers
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artificial-intelligencei-2-3i-2-8
We present Reap, an open framework for learning and analyzing formal proof search in Lean4. Reap implements policy-value-guided Monte Carlo Tree Search directly in Lean, sharing proof-state transitions, AND-OR search, and replay verification between inference and training rollouts. Structured action
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