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arXiv 2609.32577 · cs.CL · 2026-09-26

Groupwise Agentic Grading and Advantage Redistribution for Code Agent RL

Jinhao Dong, Liang Zhao, Zihao Yue, Wenhan Ma, Linghao Zhang, Lei Li, Shicheng Li, Yifan Song and 2 more

Xiaomi MiMo

In latest · #174 Added on 2026-10-21

One-line takeaway

GAGAR redistributes advantages by implementation quality in code-agent RL, rewarding cleaner, targeted changes.

GAGAR 在编程 Agent RL 中按实现质量重新分配优势值,奖励更干净、更聚焦的代码修改。

95HF upvotes
–GitHub stars
1Citations (Semantic Scholar)
54.1Buzz score

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About this data

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.

Data updated: Latest AI papers(UTC+8)