pith:MM7HFCVL
Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation
History-conditioned reinforcement learning recovers nearly all privileged-state performance for CO2 storage control with only well-level data.
arxiv:2605.02405 v2 · 2026-05-04 · cs.LG
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\usepackage{pith}
\pithnumber{MM7HFCVLDZPEVIPBB2UPMHBFT6}
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Record completeness
Claims
history-conditioned policies recover nearly all of the privileged-state performance while using only deployable well-level information, and that latent model-based retuning outperforms direct model-free retuning under the same scenario-specific real-simulator budget in the abnormal operating cases.
That high-fidelity reservoir simulations used for training and adaptation accurately represent real-world reservoir behavior and that the latent dynamics model captures the necessary changes under failures, leakage, and connectivity shifts.
History-conditioned RL policies recover nearly all privileged-state performance with deployable well data, and latent model-based retuning outperforms direct model-free retuning under abnormal reservoir conditions.
Receipt and verification
| First computed | 2026-06-26T01:15:53.016172Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
633e728aab1e5e4aa1e10ea8f61c259f84fcbbb0915bfa0c2ee996290f2e5db6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MM7HFCVLDZPEVIPBB2UPMHBFT6 \
| 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: 633e728aab1e5e4aa1e10ea8f61c259f84fcbbb0915bfa0c2ee996290f2e5db6
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-04T09:49:44Z",
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