pith:CW246UPY
Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions
A policy trained only on 20-UAV swarms transfers directly to swarms of 500 UAVs without fine-tuning and outperforms baselines in reconnection reliability, recovery speed, motion safety, and efficiency.
arxiv:2604.15762 v2 · 2026-04-17 · cs.LG
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\pithnumber{CW246UPYC6UDMMNS7METZTPLEP}
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Record completeness
Claims
A policy trained on 20-UAV swarms transfers directly to swarms of up to 500 UAVs without fine-tuning, and achieves better performance across reconnection reliability, recovery speed, motion safety, and runtime efficiency than representative baselines.
That the bounded local interaction graphs combined with explicit attraction-repulsion message passing and scenario-adaptive imitation learning will generalize across arbitrary swarm sizes and fragmentation severities without overfitting to the 20-UAV training distribution.
PhyGAIL uses bounded local graphs and physics-informed gated message passing in an imitation learning setup to achieve zero-shot scalable decentralized recovery in UAV swarms after failures.
Receipt and verification
| First computed | 2026-05-20T00:04:31.723517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15b5cf51f817a83631b2fb093ccdeb23d45c71f1a087458b3094db4cd6fa1d09
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CW246UPYC6UDMMNS7METZTPLEP \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 15b5cf51f817a83631b2fb093ccdeb23d45c71f1a087458b3094db4cd6fa1d09
Canonical record JSON
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