1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
A Lightweight Traffic Map for Efficient Anytime LaCAM*
Bojie Shen, Yue Zhang, Zhe Chen +1
Multi-Agent Path Finding (MAPF) aims to compute collision-free paths for multiple agents and has a wide range of practical applications. LaCAM*, an anytime configuration-based solv…
cs.MA2025
Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery
Yue Zhang, Zhe Chen, Daniel Harabor +2
We study the problem of online Multi-Agent Pickup and Delivery (MAPD), where a team of agents must repeatedly serve dynamically appearing tasks on a shared map. Existing online met…
cs.MA2024★ 1 cited
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin +5
Multi-Agent Path Finding (MAPF) is the problem of finding a set of collision-free paths for multiple agents in a shared environment while minimizing the sum of travel time. Since s…