Liu, Xu-Hui

7 publications

ICLR 2025 On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu

ICLR 2025 Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu

ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang

ICML 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu

ICML 2024 Offline Transition Modeling via Contrastive Energy Learning Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu

ICML 2022 The Teaching Dimension of Regularized Kernel Learners Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu

NeurIPS 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Xu-Hui Liu, Zhenghai Xue, Jingcheng Pang, Shengyi Jiang, Feng Xu, Yang Yu