Simple Emergent Action Representations from Multi-Task Policy Training. - Pu Hua; Yubei Chen; Huazhe Xu (ICLR, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Huazhe Xu (NeurIPS, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Xiaolong Wang; Huazhe Xu (CoRR, 2023)

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. - Pu Hua; Minghuan Liu; Annabella Macaluso; Yunfeng Lin; Weinan Zhang 001; Huazhe Xu; Lirui Wang (CoRL, 2024)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

On the Evaluation of Generative Robotic Simulations. - Feng Chen; Botian Xu; Pu Hua; Peiqi Duan; Yanchao Yang; Yi Ma; Huazhe Xu (CoRR, 2024)

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion. - Kaizhe Hu; Zihang Rui; Yao He; Yuyao Liu; Pu Hua; Huazhe Xu (ICLR, 2025)

H3DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning. - Yiyang Lu; Yufeng Tian; Zhecheng Yuan; Xianbang Wang; Pu Hua; Zhengrong Xue; Huazhe Xu (CoRR, 2025)