Skill-V: Verifiable Self-Evolving Skill Library for Interactive Agents
cs.CV
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Sources
- Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- SimpleMem: Efficient Lifelong Memory for LLM Agents
- SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
- GPT-4 Technical Report
- SkillOS: Learning Skill Curation for Self-Evolving Agents
- MemGPT: Towards LLMs as Operating Systems
- SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
- Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Gemini: A Family of Highly Capable Multimodal Models
- Kimi K2: Open Agentic Intelligence
- Skill-R1: Agent Skill Evolution via Reinforcement Learning
- EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
- RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
- SkillRouter: Skill Routing for LLM Agents at Scale
- Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
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