4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2026
MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning
Zhixi Cai, Fucai Ke, Kevin Leo +4
Recent vision-language models have strong perceptual ability but their implicit reasoning is hard to explain and easily generates hallucinations on complex queries. Compositional m…
cs.AI2019★ 4 cited
Position Paper: From Multi-Agent Pathfinding to Pipe Routing
Gleb Belov, Liron Cohen, Maria Garcia de la Banda +3
The 2D Multi-Agent Path Finding (MAPF) problem aims at finding collision-free paths for a number of agents, from a set of start locations to a set of goal positions in a known 2D e…