Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. - Yirui Zhou; Yangchun Zhang; Xiaowei Liu; Wanying Wang; Zhengping Che; Zhiyuan Xu; Jian Tang 008; Yaxin Peng (PPSN (1), 2022)

Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum. - Yangchun Zhang; Yirui Zhou; Xiaowei Liu (Comput. Stat. Data Anal., 2023)

Distributional generative adversarial imitation learning with reproducing kernel generalization. - Yirui Zhou; Mengxiao Lu; Xiaowei Liu; Zhengping Che; Zhiyuan Xu; Jian Tang 008; Yangchun Zhang; Yan Peng 001; Yaxin Peng (Neural Networks, 2023)

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. - Wanying Wang; Yichen Zhu; Yirui Zhou; Chaomin Shen 001; Jian Tang 008; Zhiyuan Xu; Yaxin Peng; Yangchun Zhang (AAAI, 2024)

Residual Chain Prediction for Autonomous Driving Path Planning. - Liguo Zhou; Yirui Zhou; Huaming Liu; Alois Knoll (CoRR, 2024)

Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery. - Yangchun Zhang; Wang Zhou; Yirui Zhou (CoRR, 2024)

Generalization error for portable rewards in transfer imitation learning. - Yirui Zhou; Lei Wang; Mengxiao Lu; Zhiyuan Xu; Jian Tang 008; Yangchun Zhang; Yaxin Peng (Knowl. Based Syst., 2024)

On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration. - Yirui Zhou; Xiaowei Liu; Xiaofeng Zhang; Yangchun Zhang (CoRR, 2025)

Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach. - Xiangtong Yao; Yirui Zhou; Yuan Meng; Liangyu Dong; Lin Hong; Zitao Zhang; Zhenshan Bing; Kai Huang 001; Fuchun Sun; Alois Knoll (CoRR, 2025)

Data-Agnostic Robotic Long-Horizon Manipulation with Vision-Language-Guided Closed-Loop Feedback. - Yuan Meng; Xiangtong Yao; Haihui Ye; Yirui Zhou; Shengqiang Zhang; Zhenshan Bing; Alois Knoll (CoRR, 2025)