标题为英语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…
AI 摘要：要点
- 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…
Exploration-Preserving Policy Optimization
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