arXiv Artificial Intelligence

AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization

AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization

Quick summary

arXiv:2608.21292v1 Announce Type: new Abstract: Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support capability formation, and finally be invoked only when they improve individual decisions. Existing methods rarely model this lifecycle. They either keep skills outside the model, fully internalize them, or select among internalization and utilization objectives through noisy task-level success rates. Such designs fragment training and assign uniform importance to actions within the same trajectory, even though skill guidance may h

Key takeaways

  • arXiv:2608.21292v1 Announce Type: new Abstract: Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support capability formation, and finally be invoked only when they improve individual decisions.
  • Existing methods rarely model this lifecycle.
  • They either keep skills outside the model, fully internalize them, or select among internalization and utilization objectives through noisy task-level success rates.

Why it matters

The significance is not only the legal text but how it changes product design. Decisions around “AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization” may reshape data collection, model training, output accountability and market access.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗