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Formal mathematics (such as the languages used by proof assistants like Lean and Coq) requires every step of reasoning to be strictly verifiable, so it is naturally suited as a source of reward signals for reinforcement learning; the core value of organizing formal data into reinforcement learning environments lies in the automatic scorer, which can greatly reduce training and evaluation costs.
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10/13/2026
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