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ORCIDWeiming 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
![[0000-0003-3700-4307]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3700-4307")
(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
- 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)- [c9]Kezhe Xie, Weiming Liu, Bin Li:
Neural Future-Dependent Online Mirror Descent. ACAI 2023: 1-6 - 2022
- [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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