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.
Deep reinforcement learning for generalizable field development optimization.SPE Journal, 27(01):226–245
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation
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.