AIBullisharXiv – CS AI · 18h ago6/10
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MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution
MetaEvo is a new framework that enables large language model-based agents to continuously improve through task experience by focusing on learning mechanisms rather than just memory storage. The two-stage approach combines preference-based optimization with modular architecture to help AI agents develop abstract principles and enhance reasoning capabilities over time.