Neural Networks and related Deep Learning methods are currently at the
l...
Embedding undirected graphs in a Euclidean space has many computational
...
Multi-Agent Path Finding (MAPF) is the problem of moving a team of agent...
In this paper, we study the one-shot and lifelong versions of the Target...
In multi-agent path finding (MAPF) the task is to navigate agents from t...
The MAPF problem is the fundamental problem of planning paths for multip...
The Multi-Agent Pickup and Delivery (MAPD) problem models applications w...
Multi-agent path finding (MAPF) is an essential component of many
large-...
We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The obje...
We formalize the problem of multi-agent path finding with deadlines
(MAP...
The authors present an overview of a hierarchical framework for coordina...
Territorial control is a key aspect shaping the dynamics of civil war.
D...
Multi-agent path finding (MAPF) is a well-studied problem in artificial
...
Multi-Agent Path Finding (MAPF) is an NP-hard problem well studied in
ar...
We present a new preprocessing algorithm for embedding the nodes of a gi...
The multi-agent path-finding (MAPF) problem has recently received a lot ...
Path planning for multiple robots is well studied in the AI and robotics...
Multi-agent path finding (MAPF) is well-studied in artificial intelligen...
Several recently developed Multi-Agent Path Finding (MAPF) solvers scale...