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#agent-learning News & Analysis

2 articles tagged with #agent-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · 8h ago7/10
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EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle

Researchers introduce EvolveR, a framework enabling LLM agents to self-improve through a closed-loop lifecycle combining offline strategy distillation with online task interaction. The system demonstrates superior performance on complex question-answering benchmarks by enabling agents to learn from their own experiences rather than relying solely on external knowledge.

AIBullisharXiv – CS AI · 8h ago6/10
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RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation

Researchers propose RRCM, a novel framework that enhances Large Language Model-based recommendation systems by dynamically retrieving relevant collaborative and metadata information. The system learns optimal context construction through ranking-driven optimization, addressing key challenges in balancing context quality with efficiency limitations.