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Исследования2026年10月6日

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…

Hangzhan jin, Mohammad Hamdaqa, Doina Precup·arXiv — cs.AI
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Key Takeaways
  • 01.Reinforcement learning with verifiable rewards improves reasoning, while the allocation of learning signal shapes which solutions remain accessible under repeated sampling
  • 02.Group-relative objectives assign equal advantages to equally rewarded responses, making aggregate credit…

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