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arXiv — cs.AI

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Exploration-Preserving Policy Optimization

Reinforcement learning with verifiable rewards improves reasoning, while the allocation of learning signal shapes which solutions remain accessible under repeated sampling. Group-relative objectives assign equal advantages to equally rewarded responses, making aggregate credit…

arXiv — cs.AIBy: Hangzhan jin, Mohammad Hamdaqa, Doina PrecupOctober 6, 2026 (Oct 6)
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AI Summary & Key Takeaways

  • Reinforcement learning with verifiable rewards improves reasoning, while the allocation of learning signal shapes which solutions remain accessible under repeated sampling
  • Group-relative objectives assign equal advantages to equally rewarded responses, making aggregate credit…
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Exploration-Preserving Policy Optimization

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