New algorithms for multi-agent path finding preserve planning-level privacy via mock agents and execution-level privacy via modified PIBT and LaCAM solvers, plus post-processing that lowers total cost without breaking privacy.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Privacy Preserving Multi Agent Path Finding
New algorithms for multi-agent path finding preserve planning-level privacy via mock agents and execution-level privacy via modified PIBT and LaCAM solvers, plus post-processing that lowers total cost without breaking privacy.