Wan, Shenghua

8 publications

ICML 2025 FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan

NeurIPS 2025 Leveraging Conditional Dependence for Efficient World Model Denoising Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan

IJCAI 2025 Reward Models in Deep Reinforcement Learning: A Survey Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan

ICML 2024 AD3: Implicit Action Is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

NeurIPS 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan

IJCAI 2024 MOSER: Learning Sensory Policy for Task-Specific Viewpoint via View-Conditional World Model Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan

ICML 2024 SeMOPO: Learning High-Quality Model and Policy from Low-Quality Offline Visual Datasets Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan

ICML 2023 SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan