Shengze Li

Efficient state representation with artificial potential fields for reinforcement learning

Donghong Liu, Hao Jiang, Xinhai Xu, 2023, Complex & Intelligent Systems.

A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems

H. Lian, S. Bordas, C. Zheng, 2022, Computer Methods in Applied Mechanics and Engineering.

Efficient Searching With MCTS and Imitation Learning: A Case Study in Pommerman

Zhuxuan Meng, Hailan Yang, Shengze Li, 2021, IEEE Access.

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning

Yuntao Liu, Donghong Liu, Hao Jiang, 2022, International Conference on Information and Knowledge Management.

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning

Yuntao Liu, Donghong Liu, Hao Jiang, 2022, CIKM.