A graph neural network learns to approximate altruistic robot transfers across heterogeneous teams using Hamilton's rule, achieving near-optimal allocation in simulated firefighting scenarios.
Reducibility among combinatorial problems
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
QUACOD decomposes drone-scheduling QUBOs into small blocks solved by VQE and reports up to ~5x more drones and ~35x more routes than QUADRO, though the largest claim is overstated.
citing papers explorer
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Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
A graph neural network learns to approximate altruistic robot transfers across heterogeneous teams using Hamilton's rule, achieving near-optimal allocation in simulated firefighting scenarios.
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QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone Scheduling
QUACOD decomposes drone-scheduling QUBOs into small blocks solved by VQE and reports up to ~5x more drones and ~35x more routes than QUADRO, though the largest claim is overstated.