Weiming Liu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Constrained Global Optimization

Regret Minimization

Reinforcement Learning

Evolutionary Algorithm

Top Venues

GECCO (Companion)

Publications

Weiming Liu, Bin Li, Julian Togelius
Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning. IEEE Trans. Games 15 (3) (2023)
Huacong Jiang, Weiming Liu, Bin Li
Faster Optimistic Online Mirror Descent for Extensive-Form Games. PRICAI (1) (2022)
Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. ICML (2022)
Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. CoRR (2021)
Weiming Liu, Bin Li, Julian Togelius
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning. CoRR (2020)
Xin Tong, Weiming Liu, Bin Li
Enhancing Rolling Horizon Evolution with Policy and Value Networks. CoG (2019)
Weiming Liu, Yinda Zhou, Bin Li, Ke Tang
Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. CEC (2019)
Yinda Zhou, Weiming Liu, Bin Li
Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning. EvoApplications (2019)
Yinda Zhou, Weiming Liu, Bin Li
Two-stage population based training method for deep reinforcement learning. HP3C (2019)
Xin Tong, Weiming Liu, Bin Li
Learn a Prior for RHEA for Better Online Planning. CoRR (2019)
Lei Liu, Chengshan Pang, Weiming Liu, Bin Li
Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space. SEAL (2017)
Chengshan Pang, Mang Wang, Weiming Liu, Bin Li
Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. GECCO (Companion) (2016)