Hongjie Cao — accepted AI-conference papers

2026

Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control

Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min +10

ICLR 2026poster

Scaling imitation learning to high-DoF whole-body robots is fundamentally limited by the \textbf{curse of dimensionality} and the prohibitive cost of collecting expert demonstrations. We argue that the core bottleneck is paradigmatic: real-world supervision for whole-body control is inherently imper…

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2025

Robust Offline Imitation Learning Through State-level Trajectory Stitching

Shuze Wang, Yunpeng Mei, Hongjie Cao, Yetian Yuan, Gang Wang, Jian Sun +1

IROS 2025

Imitation learning (IL) has proven effective for enabling robots to acquire visuomotor skills through expert demonstrations. However, traditional IL methods are limited by their reliance on high-quality, often scarce, expert data, and suffer from covariate shift. To address these challenges, recent

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