425 citations · 539 across the 6 of their papers we have counts for
3 papers · 1 filter
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
Guillaume Sartoretti, Justin Kerr, Yunfei Shi +4
Multi-agent path finding (MAPF) is an essential component of many large-scale, real-world robot deployments, from aerial swarms to warehouse automation. However, despite the commun…
Multi-Agent Path Finding with Deadlines
Hang Ma, Glenn Wagner, Ariel Felner +3
We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The objective is to maximize the number of agents that can reach their given goal vertices from their given start ve…
Multi-Agent Path Finding with Deadlines: Preliminary Results
Hang Ma, Glenn Wagner, Ariel Felner +3
We formalize the problem of multi-agent path finding with deadlines (MAPF-DL). The objective is to maximize the number of agents that can reach their given goal vertices from their…