Weiming Liu

According to our database, Weiming Liu authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning.

Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu

CoRR, 2024

2023

Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning.

Weiming Liu, Bin Li, Julian Togelius

IEEE Trans. Games, September, 2023

Policy Space Diversity for Non-Transitive Games.

Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Opponent-Limited Online Search for Imperfect Information Games.

Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2023

Neural Future-Dependent Online Mirror Descent.

Kezhe Xie, Weiming Liu, Bin Li

Proceedings of the 6th International Conference on Algorithms, 2023

2022

Faster Optimistic Online Mirror Descent for Extensive-Form Games.

Huacong Jiang, Weiming Liu, Bin Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Greedy when Sure and Conservative when Uncertain about the Opponents.

Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

Proceedings of the International Conference on Machine Learning, 2022

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent.

Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li

Proceedings of the International Conference on Machine Learning, 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.

Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

Learn a Prior for RHEA for Better Online Planning.

Xin Tong, Weiming Liu, Bin Li

CoRR, 2019

Two-stage population based training method for deep reinforcement learning.

Yinda Zhou, Weiming Liu, Bin Li

Proceedings of the 3rd International Conference on High Performance Compilation, 2019

Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning.

Yinda Zhou, Weiming Liu, Bin Li

Proceedings of the Applications of Evolutionary Computation, 2019

Enhancing Rolling Horizon Evolution with Policy and Value Networks.

Xin Tong, Weiming Liu, Bin Li

Proceedings of the IEEE Conference on Games, 2019

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization.

Weiming Liu, Yinda Zhou, Bin Li, Ke Tang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2017

Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space.

Lei Liu, Chengshan Pang, Weiming Liu, Bin Li

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2016

Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis.

Chengshan Pang, Mang Wang, Weiming Liu, Bin Li

Proceedings of the Genetic and Evolutionary Computation Conference, 2016