📈 now trending on alphaXiv "SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning" SkillRL turns an LLM agent’s messy trial-and-error trajectories into a compact & searchable skill library that recursively grows during RL This lets the agent actually learns reusable strategies over time instead of just replaying raw memories, yielding big gains (+15.3% over strong baselines) with far fewer tokens!