A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods
D Shi, B Song, Y Zhang, H Yang, K Xu - Proceedings of the VLDB …, 2024 - dl.acm.org
Spatiotemporal applications such as taxi order dispatching and warehouse task scheduling
depend critically on the algorithms for operational efficiency. However, the inherent dynamic …
depend critically on the algorithms for operational efficiency. However, the inherent dynamic …
机器学习驱动的多智能体路径搜寻算法综述
王祥丰， 李文浩 - 运筹学学报, 2023 - ort.shu.edu.cn
多智能体路径搜寻(Multi-agent Path Finding, MAPF) 问题是多智能体系统中的核心基本问题,
被广泛应用于自动化智能仓储, 自动驾驶, 群体机器人等实际场景. 从问题属性来看 …
被广泛应用于自动化智能仓储, 自动驾驶, 群体机器人等实际场景. 从问题属性来看 …
A Lifelong Conflict-Aware AGV Routing System
R Wu, M Zhang, S Wang, FKS Chan, YN Law… - Australasian Database …, 2025 - Springer
Abstract Automated Guided Vehicle (AGV) play an increasingly critical role in modern
warehouses to cope with the enormous logistic demands that come with the fast developing …
warehouses to cope with the enormous logistic demands that come with the fast developing …
[PDF][PDF] Advances in Pathfinding Algorithms for Games, Route Planning Software, and Automated Warehouses
B Shen - 2023 - scholar.archive.org
The pathfinding problem is a fundamental challenge in artificial intelligence, with numerous
real-world applications across a variety of environments and domains. Many of these …
real-world applications across a variety of environments and domains. Many of these …