Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. - Lihua Zhang 006; Quan Liu 004; Zhigang Huang; Lan Wu (ICASSP, 2023)

A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. - Lihua Zhang 006; Quan Liu 004; Xiongzhen Zhang; Yapeng Xu (ICASSP, 2023)

Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. - Xiongzhen Zhang; Quan Liu 004; Lihua Zhang 006 (SMC, 2023)

Addressing implicit bias in adversarial imitation learning with mutual information. - Lihua Zhang 006; Quan Liu 004; Fei Zhu 003; Zhigang Huang (Neural Networks, 2023)

Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. - Lan Wu; Quan Liu 004; Lihua Zhang 006; Zhigang Huang (ICASSP, 2024)

Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. - Lan Wu; Quan Liu 004; Lihua Zhang 006; Zhigang Huang (ICASSP, 2024)

Offline Reinforcement Learning Based on Next State Supervision. - Jie Yan; Quan Liu 004; Lihua Zhang 006 (ICASSP, 2024)

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. - Zhigang Huang; Quan Liu 004; Fei Zhu 003; Lihua Zhang 006; Lan Wu (Expert Syst. Appl., 2024)