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.
Improving the ensemble-optimization method through covariance-matrix adaptation.Spe Journal, 20(01):155–168
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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.