Author

Qi Zhu

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Preprint Aug 2026

Skills in Weights, Memory in Code: Hybrid Learning for Memory-Dependent Robot Manipulation

HyMeS, a hybrid learning framework that leverages the reasoning and memory-management capabilities of coding agents to steer a Markovian VLA for memory-dependent manipulation, is proposed, enabling data-efficient compositional generalization.

Yunhao Zhao, Zhenyang Ni, Haoyang Chen et al. · 0 citations