arXiv Artificial Intelligence

ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization

2 hours ago 02.10.2026 07:00 👁 2 views
ActiveSaddler: Automated Curriculum Learning for Agent Harness Optimization

Quick summary

arXiv:2610.00906v1 Announce Type: new Abstract: Automated harness optimization can substantially improve LLM agents by iteratively updating their prompts, tool interfaces, and control logic from execution feedback. However, existing methods primarily optimize how the harness is updated while largely fixing which training scenarios generate the feedback that drives those updates. As the harness evolves, the scenarios most useful for further optimization can change, suggesting that the training curriculum itself should adapt alongside the harness. We formulate this missing dimension of harness o

Key takeaways

  • arXiv:2610.00906v1 Announce Type: new Abstract: Automated harness optimization can substantially improve LLM agents by iteratively updating their prompts, tool interfaces, and control logic from execution feedback.
  • However, existing methods primarily optimize how the harness is updated while largely fixing which training scenarios generate the feedback that drives those updates.
  • As the harness evolves, the scenarios most useful for further optimization can change, suggesting that the training curriculum itself should adapt alongside the harness.

Why it matters

This development shows AI moving deeper into everyday software. Productivity potential should be weighed against price, data permissions, exportability and the preservation of human control.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗