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COBRA-Skills

model1 events
papersSEP 12 04:00 UTC

COBRA-Skills: Bandit-Guided Evolution for LLM Agent Skill Optimization

A new arXiv preprint proposes COBRA-Skills, a method that applies contextual bandit guidance to evolve reusable skills for large language model agents. The approach aims to cut the reliance on expensive execution-based evaluation and large task datasets that limit existing skill optimization techniques. It targets agents that reuse skills distilled from earlier task experience.

agents/llm-agents/reinforcement-learning/arxiv