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arXiv 2610.08963 · cs.LG · 2026-10-06

On KL-Regularized Policy Optimization

Yifan Zhang

math-ai

In latest · #236 Added on 2026-10-21

One-line takeaway

KLPO anchors the KL regulariser at the sampling policy to handle stale, mismatched rollouts in asynchronous LLM-agent RL.

KLPO 把 KL 正则锚定在采样策略上,处理异步强化学习中策略过期和推理/训练概率不一致的问题。

27HF upvotes
187GitHub stars
1Citations (Semantic Scholar)
50.8Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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