Author

Gaoyue Zhou

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#artificial intelligence Preprint Oct 2026

Hierarchical World Models with Implicit Dynamics

This work introduces ID-WM (Implicit Dynamics World Models), a hierarchical world model that decouples state-space reachability from local control and yields a 135% performance gain over single-level world model MPC, particularly in complex, unseen configurations for long-horizon tasks.

Gao-Yue Zhou, Yvonne Wu, Zichen Jeff Cui et al. · 0 citations

Jul 2026

Patch Policy: Efficient Embodied Control via Dense Visual Representations

This work believes Patch Policy provides a pipeline for the robotics community to readily leverage continuing progress in visual representation learning, without sacrificing the training efficiency or inference speed required for high-frequency, reactive control.

Gaoyue Zhou, Zichen Jeff Cui, Ada Langford et al. · arXiv.org · 0 citations