AI RESEARCH
Experiential Reflective Learning for Self-Improving LLM Agents
arXiv CS.AI
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ArXi:2603.24639v1 Announce Type: cross Recent advances in large language models (LLMs) have enabled the development of autonomous agents capable of complex reasoning and multi-step problem solving. However, these agents struggle to adapt to specialized environments and do not leverage past interactions, approaching each new task from scratch regardless of their accumulated experience. We