arXivAI Agent
Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI
以「後設技能」為核心的 AI4AI：為 Agent 設計最佳執行環境的測試期學習架構
This study introduces a test-time AI-for-AI framework where a Builder model learns Meta-Skills to design optimal execution environments (harnesses) for a target agent without training weights, boosting performance on unseen tasks.
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