Hu, Jianming

10 publications

TMLR 2025 A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches Ruibo Ming, Zhewei Huang, Jingwei Wu, Zhuoxuan Ju, Daxin Jiang, Jianming Hu, Lihui Peng, Shuchang Zhou
AAAI 2025 Are Expressive Models Truly Necessary for Offline RL? Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan
ICML 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng, Zhonghong Ou, Jianming Hu, Jianxiong Li, Xianyuan Zhan
ICLRW 2025 Efficient Robotic Policy Learning via Latent Space Backward Planning Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng, Zhonghong Ou, Jianming Hu, Jianxiong Li, Xianyuan Zhan
IJCAI 2024 A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents Haoyi Niu, Jianming Hu, Guyue Zhou, Xianyuan Zhan
NeurIPSW 2024 Are Expressive Models Truly Necessary for Offline RL? Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan
NeurIPSW 2024 xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing Haoyi Niu, Qimao Chen, Tenglong Liu, Jianxiong Li, Guyue Zhou, Yi Zhang, Jianming Hu, Xianyuan Zhan
NeurIPSW 2023 Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming Hu
NeurIPSW 2023 Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Haoyi Niu, Qimao Chen, Yingyue Li, Yi Zhang, Jianming Hu
NeurIPS 2022 When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan