A Wrong Turn Does Not Ruin the Journey: Deviation-Guided Skill Self-Evolution for LLM Agents

arXiv:2609.29154 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Accuracy — 11× in this paper · explained in 1 episode
• Procedural Knowledge — 9× in this paper · explained in 2 episodes
• Verifier — 9× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Agent Skills — 5× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Cross-Model Transfer — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Agent Harness — 1× in this paper · explained in 2 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Continual Learning — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• SkillAudit: Ground-Truth-Free Skill Evolution via Paired Trajectory Auditing
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support
• SkillGen: Verified Inference-Time Agent Skill Synthesis
• SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
• Qwen3 Technical Report
• Skill Retrieval Augmentation for Agentic AI
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• Agent Workflow Memory
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• TravelPlanner: A Benchmark for Real-World Planning with Language Agents
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• SkillOpt: Executive Strategy for Self-Evolving Agent Skills
• AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
• $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
• ReAct: Synergizing Reasoning and Acting in Language Models
• Self-Harness: Harnesses That Improve Themselves
• SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
• SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks

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