HetNet achieves 5.84% to 707.65% performance gains and 200x bandwidth reduction over baselines in heterogeneous multi-agent robot teams via graph-attention networks and binarized messaging.
Heterogeneous graph attention networks for learning diverse commu- nication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination
HetNet achieves 5.84% to 707.65% performance gains and 200x bandwidth reduction over baselines in heterogeneous multi-agent robot teams via graph-attention networks and binarized messaging.