ML Anthology

Liu, Zhishuai

6 publications

TMLR 2026 Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo Zhou, Pan Xu
NeurIPS 2025 Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu, Pan Xu
ICML 2025 Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization Cheng Tang, Zhishuai Liu, Pan Xu
ICML 2025 Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction Yiting He, Zhishuai Liu, Weixin Wang, Pan Xu
AISTATS 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation Zhishuai Liu, Pan Xu
NeurIPS 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning Zhishuai Liu, Pan Xu