PhyGAIL uses bounded local graphs and physics-informed graph neural networks with gated message passing for attraction and repulsion to enable zero-shot transfer of recovery policies from 20-UAV to 500-UAV swarms.
Optimized connectivity restoration in a partitioned wireless sensor network,
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Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions
PhyGAIL uses bounded local graphs and physics-informed graph neural networks with gated message passing for attraction and repulsion to enable zero-shot transfer of recovery policies from 20-UAV to 500-UAV swarms.