Weiming Liu - RankMe

21 papers A* 6A 1B 2C 1Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. ICLR 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, Yang Wei, Haobo Fu
2025	A	`conf`	Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. UAI Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li
2024	J	`jnl`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR 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
2023	J	`jnl`	Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning. IEEE Trans. Games Weiming Liu, Bin Li, Julian Togelius
2023	—	`conf`	Neural Future-Dependent Online Mirror Descent. ACAI Kezhe Xie, Weiming Liu, Bin Li
2023	A*	`conf`	Opponent-Limited Online Search for Imperfect Information Games. ICML Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang
2023	A*	`conf`	Policy Space Diversity for Non-Transitive Games. NeurIPS Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	Policy Space Diversity for Non-Transitive Games. CoRR Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2022	A*	`conf`	Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang
2022	A*	`conf`	Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. ICML Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li
2022	—	`conf`	Faster Optimistic Online Mirror Descent for Extensive-Form Games. PRICAI (1) Huacong Jiang, Weiming Liu, Bin Li
2022	A*	`conf`	Greedy when Sure and Conservative when Uncertain about the Opponents. ICML Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
2021	J	`jnl`	Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. CoRR Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li
2020	J	`jnl`	Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning. CoRR Weiming Liu, Bin Li, Julian Togelius
2019	B	`conf`	Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. CEC Weiming Liu, Yinda Zhou, Bin Li, Ke Tang
2019	B	`conf`	Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning. EvoApplications Yinda Zhou, Weiming Liu, Bin Li
2019	C	`conf`	Enhancing Rolling Horizon Evolution with Policy and Value Networks. CoG Xin Tong, Weiming Liu, Bin Li
2019	J	`jnl`	Learn a Prior for RHEA for Better Online Planning. CoRR Xin Tong, Weiming Liu, Bin Li
2019	—	`conf`	Two-stage population based training method for deep reinforcement learning. HP3C Yinda Zhou, Weiming Liu, Bin Li
2017	—	`conf`	Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space. SEAL Lei Liu, Chengshan Pang, Weiming Liu, Bin Li
2016	—	`conf`	Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. GECCO (Companion) Chengshan Pang, Mang Wang, Weiming Liu, Bin Li