An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem. - Kun Lei; Peng Guo; Yi Wang; Jianyu Xiong; Wenchao Zhao (IJCNN, 2022)

A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem. - Kun Lei; Peng Guo; Wenchao Zhao; Yi Wang; Linmao Qian; Xiangyin Meng; Liansheng Tang (Expert Syst. Appl., 2022)

Solve routing problems with a residual edge-graph attention neural network. - Kun Lei; Peng Guo; Yi Wang; Xiao Wu; Wenchao Zhao (Neurocomputing, 2022)

Behavior Proximal Policy Optimization. - Zifeng Zhuang; Kun Lei; Jinxin Liu; Donglin Wang; Yilang Guo (ICLR, 2023)

The effectiveness of special apps for online piano lessons. - Kun Lei (Interact. Learn. Environ., 2023)

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. - Kun Lei; Zhengmao He; Chenhao Lu; Kaizhe Hu; Yang Gao 029; Huazhe Xu (ICLR, 2024)

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations. - Zhengmao He; Kun Lei; Yanjie Ze; Koushil Sreenath; Zhongyu Li 003; Huazhe Xu (IROS, 2024)

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning. - Kun Lei; Peng Guo; Yi Wang 110; Jian Zhang 043; Xiangyin Meng; Linmao Qian (IEEE Trans. Ind. Informatics, 2024)