Author

Hao-Zhe Du

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Preprint Sep 2026

Agent Priors-guided Policy Learning

Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization lets the learned policy behind each skill work in new situations. The two depend on each other, yet information is lost between composition a...

Pu-Ming Jiang, Tian-Run Hu, Hao-Zhe Du et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Divide-and-Remember: Recursive Action-Relevant Memory for Long-Horizon VLA Policies

Vision-language-action (VLA) models struggle on history-dependent manipulation tasks, where the current observation alone does not determine the action, and the policy needs a memory of the history. Existing memory methods decide what to remember by design, for example, keeping frames with large pixel changes, and show...

Xue-Hui Yu, Eason Yu, Mei-Yi Wang et al. · 0 citations