Author

Zhi-Guang Cao

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#artificial intelligence Preprint Oct 2026

Dream-COP: Guiding Algorithm Discovery for Combinatorial Optimization Problems in an Experience World

Dream-COP is introduced, in which a policy agent learns executable policies through dreaming in this experience world to guide a discovery agent in generating and refining COP programs, and policy replay provides feedback on the quality of the programs revealed and the search steps used, to guide policy selection more...

Kuan Xu, Jian-Ming Wang, Ni Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero

This work serves as the first exploration on automating design of complex learning-assisted optimization algorithms by regarding MetaBBO's design loop as coding task, where openendedness is introduced into MetaBBO with recursive self-improvement capability of advanced coding agents.

Zi-Pei Yu, Yue-Jiao Gong, Ze-Yuan Ma et al. · 0 citations