Lihua Zhang

According to our database, Lihua Zhang authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces.

Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu

Expert Syst. Appl., March, 2024

Offline Reinforcement Learning Based on Next State Supervision.

Jie Yan, Quan Liu, Lihua Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation.

Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation.

Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Addressing implicit bias in adversarial imitation learning with mutual information.

Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang

Neural Networks, October, 2023

Cosine Similarity Based Representation Learning for Adversarial Imitation Learning.

Xiongzhen Zhang, Quan Liu, Lihua Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets.

Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning.

Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu

Proceedings of the IEEE International Conference on Acoustics, 2023