Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. - Chengshan Pang; Mang Wang; Weiming Liu 004; Bin Li 025 (GECCO (Companion), 2016)

Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space. - Lei Liu 029; Chengshan Pang; Weiming Liu 004; Bin Li 025 (SEAL, 2017)

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. - Weiming Liu 004; Yinda Zhou; Bin Li 025; Ke Tang 001 (CEC, 2019)

Enhancing Rolling Horizon Evolution with Policy and Value Networks. - Xin Tong; Weiming Liu 004; Bin Li 025 (CoG, 2019)

Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning. - Yinda Zhou; Weiming Liu 004; Bin Li 025 (EvoApplications, 2019)

Two-stage population based training method for deep reinforcement learning. - Yinda Zhou; Weiming Liu 004; Bin Li 025 (HP3C, 2019)

Learn a Prior for RHEA for Better Online Planning. - Xin Tong; Weiming Liu 004; Bin Li 025 (CoRR, 2019)

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. - Haobo Fu; Weiming Liu 004; Shuang Wu; Yijia Wang; Tao Yang; Kai Li 022; Junliang Xing; Bin Li 025; Bo Ma; Qiang Fu 016; Wei Yang 032 (ICLR, 2022)

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. - Weiming Liu 004; Huacong Jiang; Bin Li 025; Houqiang Li (ICML, 2022)

Greedy when Sure and Conservative when Uncertain about the Opponents. - Haobo Fu; Ye Tian; Hongxiang Yu; Weiming Liu 004; Shuang Wu; Jiechao Xiong; Ying Wen 001; Kai Li 022; Junliang Xing; Qiang Fu 016; Wei Yang 032 (ICML, 2022)

Faster Optimistic Online Mirror Descent for Extensive-Form Games. - Huacong Jiang; Weiming Liu 004; Bin Li 025 (PRICAI (1), 2022)

Neural Future-Dependent Online Mirror Descent. - Kezhe Xie; Weiming Liu 004; Bin Li 025 (ACAI, 2023)

Opponent-Limited Online Search for Imperfect Information Games. - Weiming Liu 004; Haobo Fu; Qiang Fu 016; Wei Yang 032 (ICML, 2023)

Policy Space Diversity for Non-Transitive Games. - Jian Yao 008; Weiming Liu 004; Haobo Fu; Yaodong Yang 001; Stephen McAleer; Qiang Fu 016; Wei Yang 032 (NeurIPS, 2023)

Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning. - Weiming Liu 004; Bin Li 025; Julian Togelius (IEEE Trans. Games, 2023)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (CoRR, 2024)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (ICLR, 2025)

Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation. - Canzhe Zhao; Shuze Chen; Weiming Liu 004; Haobo Fu; Qiang Fu 016; Shuai Li 010 (UAI, 2025)