Author

Chen-Han Lu

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#artificial intelligence Preprint Sep 2026

Self-Evolving Algorithm-Design Agents: Escaping In-Context Evolutionary Stagnation via Population-Curated Policy Optimization

This paper characterize in-context evolutionary stagnation and analytically propose the Improvement Chain proposition, showing how learning successive self-generated algorithms can locally increase the likelihood of neighboring algorithms.

Chen-Han Lu, Ke Xue, Si-Yuan Xu et al. · 0 citations