#skill-learning News & Analysis

3 articles tagged with #skill-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Apr 77/10

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SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Researchers introduce SkillX, an automated framework for building reusable skill knowledge bases for AI agents that addresses inefficiencies in current self-evolving paradigms. The system uses multi-level skill design, iterative refinement, and exploratory expansion to create plug-and-play skill libraries that improve task success and execution efficiency across different agents and environments.

AIBullisharXiv – CS AI · Mar 37/103

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PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction

Researchers introduce PolySkill, a framework that enables AI agents to learn generalizable skills by separating abstract goals from concrete implementations, inspired by software engineering polymorphism. The method improves skill reuse by 1.7x and boosts success rates by up to 13.9% on web navigation tasks while reducing execution steps by over 20%.

AIBullisharXiv – CS AI · Apr 146/10

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Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents

Researchers introduce Skill-SD, a novel training framework for multi-turn LLM agents that improves sample efficiency by converting successful agent trajectories into dynamic natural language skills that condition a teacher model. The approach combines reinforcement learning with self-distillation and achieves significant performance improvements over baseline methods on benchmark tasks.