Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems

27 May 2021

Mingxuan Yuan

Jun Wang

Papers citing "Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems"

7 / 7 papers shown

Title
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach Tong Nie Junlin He Yuewen Mei Guoyang Qin Guilong Li Jian Sun Wei Ma 37 3 0 30 Aug 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 70 4 0 01 Jun 2024
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry Lixia Wu Haomin Wen Haoyuan Hu Xiaowei Mao Yutong Xia ... Y. Liang Liuqing Yang Roger Zimmermann Youfang Lin Huaiyu Wan 47 8 0 19 Jun 2023
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems Weijie Zhao Xuewu Jiao Xinsheng Luo Jingxue Li Belhal Karimi Ping Li 43 2 0 26 Sep 2022
Adaptive Task Planning for Large-Scale Robotized Warehouses D. Shi Yongxin Tong Zimu Zhou Ke Xu Wenzhe Tan Hongbo Li 17 7 0 24 Apr 2022
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012