Author

Zhihao Zhan

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Preprint Oct 2026

AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation

Vision-language-action (VLA) models have shown promise in robotic manipulation, but imitation learning (IL) alone often struggles to master complex long-horizon skills. Reinforcement learning (RL) offers an effective avenue for further improving VLA policies. However, existing VLA-RL methods typically suffer from delay...

Li-Kui Zhang, Zhe Zhu, Zhi-Hao Zhan et al. · 0 citations

#artificial intelligence Mar 2026

AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots

This work proposes AtomicVLA, a unified planning-and-execution framework that jointly generates task-level plans, atomic skill abstractions, and fine-grained actions, and introduces a flexible routing encoder that automatically assigns dedicated atomic experts to new skills, enabling continual learning.

Likui Zhang, Tao Tang, Zhihao Zhan et al. · arXiv.org · 19 citations · ⚡3