SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment 事件

SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment arXiv:2605.27899v1 Announce Type: new Abstract: Structured skill prompts improve exploration in long-horizon agentic reinforcement learning (RL). Skill-augmented RL methods retain external skills at inference, while skill-internalization RL methods withdraw them during training to enable autonomous performance. However, existing internalization approaches only use skill-helpfulness contrast for cur