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
在最新榜 #194 本站收录于 2026-10-21
一句话要点
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。
Microsoft's Self-HPO alternately evolves a coding agent's harness and policy model for recursive self-improvement.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：代码与软件工程
- CodeMidas: Scaling Agentic Coding RL Environments from Code Itself ▲138
- AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards ▲137
- LEGO-Anything: Coding Agents for 3D Scene Reconstruction ▲129
- 3DCodeVerse: Exploring 3D Worlds as Code ▲117
- Groupwise Agentic Grading and Advantage Redistribution for Code Agent RL ▲95
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。