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Weiming Liu 0004
Person information
- unicode name: 刘伟明
- affiliation: Tencent AI Lab, China
- affiliation (former): University of Science and Technology of China, School of Data Science, Heifei, China
Other persons with the same name
- Weiming Liu (aka: Wei-Ming Liu, Wei Ming Liu) — disambiguation page
- Weiming Liu 0001 — Baidu Co, Shanghai, China (and 1 more)
- Wei Ming Liu 0002 (aka: Weiming Liu 0002) — Swansea University, UK
- Weiming Liu 0003
(aka: Wei-Ming Liu 0003) — South China University of Technology, School of Civil Engineering and Transportation, Guangzhou, China (and 1 more)
- Weiming Liu 0005
— Zhejiang University, College of Computer Science, Hangzhou, China
- Weiming Liu 0006
— Southeast University, School of Automation, Nanjing, China
- Weiming Liu 0007 — Brigham Young University, Department of Computer Science, USA
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2020 – today
- 2024
- [i5]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:
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR abs/2410.15910 (2024) - 2023
- [j1]Weiming Liu
, Bin Li
, Julian Togelius
:
Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning. IEEE Trans. Games 15(3): 315-325 (2023) - [c13]Kezhe Xie
, Weiming Liu
, Bin Li
:
Neural Future-Dependent Online Mirror Descent. ACAI 2023: 1-6 - [c12]Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang:
Opponent-Limited Online Search for Imperfect Information Games. ICML 2023: 21567-21585 - [c11]Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang:
Policy Space Diversity for Non-Transitive Games. NeurIPS 2023 - [i4]Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang
, Stephen McAleer, Qiang Fu, Wei Yang:
Policy Space Diversity for Non-Transitive Games. CoRR abs/2306.16884 (2023) - 2022
- [c10]Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang:
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR 2022 - [c9]Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang:
Greedy when Sure and Conservative when Uncertain about the Opponents. ICML 2022: 6829-6848 - [c8]Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li:
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. ICML 2022: 13717-13745 - [c7]Huacong Jiang, Weiming Liu, Bin Li:
Faster Optimistic Online Mirror Descent for Extensive-Form Games. PRICAI (1) 2022: 90-103 - 2021
- [i3]Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li:
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. CoRR abs/2110.04961 (2021) - 2020
- [i2]Weiming Liu, Bin Li, Julian Togelius:
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning. CoRR abs/2012.01870 (2020)
2010 – 2019
- 2019
- [c6]Weiming Liu, Yinda Zhou, Bin Li, Ke Tang:
Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. CEC 2019: 318-325 - [c5]Xin Tong, Weiming Liu, Bin Li:
Enhancing Rolling Horizon Evolution with Policy and Value Networks. CoG 2019: 1-8 - [c4]Yinda Zhou, Weiming Liu, Bin Li:
Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning. EvoApplications 2019: 141-155 - [c3]Yinda Zhou, Weiming Liu, Bin Li:
Two-stage population based training method for deep reinforcement learning. HP3C 2019: 38-44 - [i1]Xin Tong, Weiming Liu, Bin Li:
Learn a Prior for RHEA for Better Online Planning. CoRR abs/1902.05284 (2019) - 2017
- [c2]Lei Liu, Chengshan Pang, Weiming Liu, Bin Li:
Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space. SEAL 2017: 196-207 - 2016
- [c1]Chengshan Pang, Mang Wang, Weiming Liu, Bin Li:
Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. GECCO (Companion) 2016: 1437-1444
Coauthor Index
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