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arXiv 2610.22791 · cs.CL · 2026-10-16

Self-Evolving Coding Agents via Harness-Policy Optimization

Zhepei Wei, Wenlin Yao, Baolin Peng, Danqing Wang, Qianhui Wu, Hao Cheng, Yu Meng, Jianfeng Gao

Microsoft Research

In latest · #194 Added on 2026-10-21

One-line takeaway

Microsoft's Self-HPO alternately evolves a coding agent's harness and policy model for recursive self-improvement.

微软 Self-HPO 交替优化编程智能体的“外壳”(harness)和策略模型,实现递归自我改进。

45HF upvotes
28GitHub stars
0Citations (Semantic Scholar)
53.1Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

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.

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