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News/WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling
arxiv
PublishedSeptember 3, 2026 at 4:00 AM
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WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling

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arXiv:2609.01608v1 Announce Type: cross Abstract: Black-box optimization problems remain challenging because of large, weakly structured, and high-dimensional search spaces. Existing methods often suffer from poor sample efficiency because they rely on direct candidate generation or trial-and-error

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