I am a research assistant at Shanghai Qizhi institute, where I am fortunate to work with Prof. Huazhe Xu at Tsinghua University. Before that, I was a research assistant
at Westlake University, worked with Prof. Donglin Wang.
I received my master's degree from Southwest Jiao-tong University in June 2022, where I had the pleasue to work with Prof. Peng Guo at Southwest Jiao-tong University and Prof. Yi Wang at Auburn University Montgomery. I received my bachelor's degree from Chengdu University in June 2019.
I am currently interested in research on the sample efficiency and adaptation capabilities of deep reinforcement learning algorithms and agents.
My research objective is to create reliable, robust, and efficient algorithms to tackle a diverse range of sequential decision-making problems in real-world scenarios.
I focus on reinforcement learning (especially offline RL) and robotics.
Previously, I conducted research on neural solvers for combinatorial optimization problems, i.e., in the field of AI for Operations Research. These neural agents have the potential to solve NP-hard problems with linear time complexity, see Zhihu.
Publications and preprints (Offline & online RL algorithms and robotics)
Papers sorted by recency, * indicates equal contribution.
Kun Lei, Zhengmao He*, Chenhao Lu*, Kaizhe Hu, Yang Gao, Huazhe Xu.
CoRL Deployable Workshop, 2023
project page / arXiv / code / twitter
Zhengmao He, Kun Lei, Zhongyu Li, Huazhe Xu.
Working paper, 2023
Publications and preprints (AI for Operations Research)
Papers sorted by recency.
Kun Lei, Peng Guo, Yi Wang, Jian Zhang, Xiangyin Meng, Linmao Qian.
IEEE Transactions on Industrial Informatics (TII) , 2023
Misc. open-source projects
Public code release for "Solve routing problems with a residual edge-graph attention neural network" June 2022
I am from Si Chuan, China. My name in chinese is 雷坤. I used to live in the charming cities of Chengdu and Hangzhou in China. Currently, I live in the vibrant city of Shanghai (as depicted in the background picture).