SkillAdam: Stable and Efficient Skill Evolution for Agents
SkillAdam, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents, is introduced, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents with substantially fewer optimization iterations and lower cost than prior methods.
Gao-Yuan Li, Mei-Hao Fan, Yi-Zhe Liu et al.
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