A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem. (This work has been got 150+ citations and featured as ESI Highly Cited Papers) …

Kun Lei is an Associate Professor at Haust. He earned a bachelor’s degree from Luoyang Institute of Technology in 2013, a master’s degree from Ecust in 2016, and a Ph.D. degree from...

Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao. TLDR: A novel residual edge-graph attention network based on GNN and Transfomer is proposed for various combinatorial …

‪Washington University in St. Louis‬ - ‪‪Cited by 424‬‬ - ‪Deep Reinforcement Learning‬ - ‪Offline RL‬ - ‪Robotics‬ - ‪Combinatorial Optimization Problem‬

Education: Duke University · Location: Broomfield · 444 connections on LinkedIn. View Kun Lei’s profile on LinkedIn, a professional community of 1 billion members.

May 6, 2021 · View a PDF of the paper titled Solve routing problems with a residual edge-graph attention neural network, by Kun Lei and 4 other authors

Kun Lei is an Associate Professor at Haust. He earned a bachelor’s degree from Luoyang Institute of Technology in 2013, a master’s degree from Ecust in 2016, and a Ph.D. degree from SJTU …

Kun Lei, Peng Guo, Wenchao Zhao, Yi Wang, Linmao Qian, Xiangyin Meng, Liansheng Tang: A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem. …

Kun LEI PhD student, computer science, Washington University, Saint Louis Joined September 2022

Kun Lei received the master's degree in mechanical engineering from Southwest Jiaotong University, Chengdu, China, under the supervision of Dr. Peng Guo and Dr. Yi Wang.