Dynamic Dual-Granularity Skill Bank for Agentic RL

📰 ArXiv cs.AI

D2Skill is a dynamic dual-granularity skill bank for agentic RL that organizes reusable experience into task skills and step skills

advanced Published 31 Mar 2026
Action Steps
  1. Organize reusable experience into task skills for high-level guidance
  2. Extract step skills for fine-grained decision support and error correction
  3. Implement D2Skill in agentic RL frameworks to improve performance and efficiency
  4. Evaluate and refine D2Skill through experimentation and analysis
Who Needs to Know This

ML researchers and AI engineers on a team can benefit from D2Skill as it provides a principled mechanism for maintaining an evolving skill memory, enabling more efficient and effective agentic RL

Key Insight

💡 D2Skill provides a principled mechanism for maintaining an evolving skill memory, enabling more efficient and effective agentic RL

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💡 Introducing D2Skill: a dynamic dual-granularity skill bank for agentic RL!
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