UniSkill: Learning Actor-Aligned Skill Proposals for an Evolving Policy
cs.AI
Submitted: 2026-10-07
Updated: 2026-10-07
Code: https://github.com/LimOkii/UniSKill
Terminology
Sources
- Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents
- ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
- SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
- ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning
- Complementary RL: Towards Efficient Experience-Driven Agent Learning
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
- Reinforcement Learning for Self-Improving Agent with Skill Library
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- Qwen2.5 Technical Report
- Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents
- RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
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