9 papers
Major-Minor LQ Mean Field Games with Erroneous Initial Information: Distributed Error Estimation and Strategy Modification
Yuxin Jin, Haotian Wang, Wang Yao +1
This paper studies major-minor linear-quadratic mean field games (MMLQMFGs) with erroneous initial information under a constrained observation structure. Each minor agent observes…
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
Zhiqing Hong, Zelong Li, Xiubin Fan +5
Human Activity Recognition (HAR) has shown remarkable effectiveness in various applications, such as smart healthcare and intelligent manufacturing. However, a major challenge face…
Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search
Jiangyi Fang, Bowen Zhou, Haotian Wang +2
Online 3D Bin Packing (3D-BP) with robotic arms is crucial for reducing transportation and labor costs in modern logistics. While Deep Reinforcement Learning (DRL) has shown strong…
Collaborate sim and real: Robot Bin Packing Learning in Real-world and Physical Engine
Lidi Zhang, Han Wu, Liyu Zhang +6
The 3D bin packing problem, with its diverse industrial applications, has garnered significant research attention in recent years. Existing approaches typically model it as a discr…
Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
Xinyue Feng, Shuxin Zhong, Jinquan Hang +6
Customer expansion, i.e., growing a business existing customer base by acquiring new customers, is critical for scaling operations and sustaining the long-term profitability of log…
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Jinhui Yi, Huan Yan, Haotian Wang +2
Prediction of couriers' delivery timely rates in advance is essential to the logistics industry, enabling companies to take preemptive measures to ensure the normal operation of de…