AIBullisharXiv – CS AI · Mar 276/10
🧠
Experiential Reflective Learning for Self-Improving LLM Agents
Researchers introduce Experiential Reflective Learning (ERL), a framework that enables AI agents to improve performance by learning from past experiences and generating transferable heuristics. The method shows a 7.8% improvement in success rates on the Gaia2 benchmark compared to baseline approaches.