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pith:6IN5AO3B

pith:2026:6IN5AO3B5RKBIEI7ZWRBL4HNIW
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Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking

Chuan Lin, Guangjie Han, Shengchao Zhu, Yu He

An open MARL platform with a semantic task graph lets AUV swarms track moving targets under acoustic constraints and limited observations.

arxiv:2605.15528 v1 · 2026-05-15 · cs.RO · cs.MA

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Claims

C1strongest claim

To the best of our knowledge, it is the first open platform that connects a public MARL training framework with physically modeled AUV swarm-based tasks, and provides a unified experimental protocol for fair training, testing, and comparison of representative RL and MARL algorithms. Based on this platform, we propose STG-MAPPO, a Semantic Task Graph-enhanced variant of Multi-Agent Proximal Policy Optimization.

C2weakest assumption

The integration of DI-engine with a six-degree-of-freedom underwater AUV target-tracking simulator produces a sufficiently accurate and representative model of real acoustic constraints, observation limits, and vehicle dynamics to support valid comparisons of MARL algorithms for persistent tracking.

C3one line summary

Develops an open-source MARL-AUV platform integrating DI-engine with 6DOF AUV simulation and proposes STG-MAPPO using semantic task graphs for distributed underwater target tracking.

References

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[1] Task-oriented sensing, computation, and communication integration for multi-device edge AI 2024
[2] Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking 2024 · doi:10.1109/tnse.2026.3667901

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Receipt and verification
First computed 2026-05-20T00:01:03.541298Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f21bd03b61ec5414111fcda215f0ed4594fbe2b83777521b68d6dfdd611002ef

Aliases

arxiv: 2605.15528 · arxiv_version: 2605.15528v1 · doi: 10.48550/arxiv.2605.15528 · pith_short_12: 6IN5AO3B5RKB · pith_short_16: 6IN5AO3B5RKBIEI7 · pith_short_8: 6IN5AO3B
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6IN5AO3B5RKBIEI7ZWRBL4HNIW \
  | 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: f21bd03b61ec5414111fcda215f0ed4594fbe2b83777521b68d6dfdd611002ef
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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    "submitted_at": "2026-05-15T01:55:47Z",
    "title_canon_sha256": "30aa8c96c433e5863bf5afd7e859f2275452e0e7d01a87639b6680cdcc3f69b4"
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