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通过强化学习实现渐进式智能体技能生成

原标题:Progressive Agent Skill Generation via Reinforcement Learning

Hugging Face Daily Papers一手来源研究质量 82

AI 摘要

Skill-α是一种通过强化学习逐步生成高质量智能体技能的方法。它将技能生成视为一个顺序编辑过程,并引入回滚奖励来评估每次编辑。实验表明,Skill-α在文档到技能和经验到技能两种设置下均优于基于启发式或流水线的方法,在CL-Bench和tau2-bench上分别将下游成功率提高了3.3和6.7个百分点。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Progressive Agent Skill Generation via Reinforcement Learning Abstract Existing skill generation methods largely rely on heuristics or pipeline-style consolidation, which must be specially designed for different evidence sources. In contrast, learning-based approaches offer a more unified way to model skill generation across heterogeneous sources. However, learning-based skill generation remains challenging because skills lack a natural supervision signal based on relevance or correctness; their


发布时间:—
抓取时间:2026-08-04 13:12
来源机构:Hugging Face
阅读原文huggingface.co