Lyu, Jiafei

17 publications

NeurIPS 2025 ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li

ICLR 2025 Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jing-Wen Yang, Zongqing Lu, Xiu Li

AAAI 2025 Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning Yangkun Chen, Kai Yang, Jian Tao, Jiafei Lyu

AAAI 2025 SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li

ICML 2024 Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu, Chenjia Bai, Jing-Wen Yang, Zongqing Lu, Xiu Li

ICML 2024 Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li

NeurIPS 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li

ICML 2024 PEARL: Zero-Shot Cross-Task Preference Alignment and Robust Reward Learning for Robotic Manipulation Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

ICLR 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu

JAIR 2024 Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

CVPR 2024 Using Human Feedback to Fine-Tune Diffusion Models Without Any Reward Model Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li

NeurIPSW 2023 Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li

NeurIPSW 2023 Zero-Shot Cross-Task Preference Alignment for Offline RL via Optimal Transport Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

NeurIPS 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination Jiafei Lyu, Xiu Li, Zongqing Lu

AAAI 2022 Efficient Continuous Control with Double Actors and Regularized Critics Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li

NeurIPS 2022 Mildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu

NeurIPSW 2022 State Advantage Weighting for Offline RL Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li