Model-Based Decentralized Policy Optimization. - Hao Luo 011; Jiechuan Jiang; Zongqing Lu 002 (CoRR, 2023)

CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. - Ziluo Ding; Hao Luo 011; Ke Li; Junpeng Yue; Tiejun Huang 001; Zongqing Lu 002 (CoRR, 2023)

A Survey on Transformers in Reinforcement Learning. - Wenzhe Li; Hao Luo 011; Zichuan Lin; Chongjie Zhang; Zongqing Lu 002; Deheng Ye (Trans. Mach. Learn. Res., 2023)

Reinforcement Learning Friendly Vision-Language Model for Minecraft. - Haobin Jiang; Junpeng Yue; Hao Luo 011; Ziluo Ding; Zongqing Lu 002 (ECCV (68), 2024)

Pre-trained Visual Dynamics Representations for Efficient Policy Learning. - Hao Luo 011; Bohan Zhou; Zongqing Lu 002 (ECCV (81), 2024)

Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer. - Hao Luo 011; Zongqing Lu 002 (ICLR, 2025)

Unified Multimodal Understanding via Byte-Pair Visual Encoding. - Wanpeng Zhang 002; Yicheng Feng; Hao Luo 011; Yijiang Li; Zihao Yue; Sipeng Zheng; Zongqing Lu 002 (CoRR, 2025)

Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos. - Hao Luo 011; Yicheng Feng; Wanpeng Zhang 002; Sipeng Zheng; Ye Wang; Haoqi Yuan; Jiazheng Liu; Chaoyi Xu; Qin Jin; Zongqing Lu 002 (CoRR, 2025)