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Nathan Lambert· @natolambert · X·· 3 小时前AI 评分17
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我在读那篇分数中心化RL论文,想给书里加些笔记,他们在附录里有一张很好的表格,对比了RL中基于重要性采样的不同训练-推理不匹配方法。在我看来,自GRPO起飞以来,这些一直是RL算法研究最大的焦点。

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Was reading the score-centering RL paper to add some notes on it the my book, and they have a great table in the appendix on the different importance sampling based train-inference mismatch methods in RL. These have been the biggest focus of RL algorithm research since the GRPO takeoff, imo.

来源:Nathan Lambert · x.com