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Xun-Yi Zhao

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#artificial intelligence Preprint Oct 2026

NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime

Language models trained with long-horizon agentic reinforcement learning can generalize knowledge through reasoning, express precise actions, and pursue goals over many steps, raising the ceiling on what an embodied agent can understand and decide. Physical interaction, however, remains the domain of action policies, w...

Geng-Ze Zhou, Yicong Hong, Jiazhao Zhang et al. · 0 citations

Jul 2026

Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation

The results show that a general-purpose model can already achieve competitive embodied control without a navigation policy, and term this organization agentic embodied control: the reasoning model directly steers every action, keeping reasoning and control aligned.

Jian Zhou, Xun-Yi Zhao, Gengze Zhou et al. · arXiv.org · 1 citation