pith:N3K3BDIE
Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
Contextual multi-task reinforcement learning trains one policy to handle multiple reef monitoring tasks.
arxiv:2604.12645 v2 · 2026-04-14 · cs.RO · cs.AI
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\pithnumber{N3K3BDIEGEX2C7MFBOZL3G2WHN}
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Record completeness
Claims
We train a single context-dependent policy that is able to solve multiple related monitoring tasks in a simulated reef environment in HoloOcean.
That performance gains observed in the HoloOcean simulator will translate to real-world underwater environments with highly uncertain and non-stationary dynamics.
A context-dependent multi-task RL policy is trained and evaluated in HoloOcean simulation to solve multiple reef monitoring tasks with claimed improvements in sample efficiency, zero-shot generalization, and robustness to water currents.
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Receipt and verification
| First computed | 2026-06-04T01:08:50.037051Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ed5b08d04312fa17d850bb2bd9b563b6d1fbe4cc18669d34b0da23f0d68d137
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3K3BDIEGEX2C7MFBOZL3G2WHN \
| 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: 6ed5b08d04312fa17d850bb2bd9b563b6d1fbe4cc18669d34b0da23f0d68d137
Canonical record JSON
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