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News/Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards

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arXiv:2610.20814v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards often trains language models on responses generated by a different, possibly stale behavior policy. Correcting this mismatch with learner-to-behavior importance weights can introduce high variance for lo

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