Fig. 4

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Training plots of PO4NCPA on circular pupil with SI and PC. Here we plot the negative cumulative reward (loss) after each episode in the training circle. The light blue curve shows the raw negative reward, and the dark blue shows the smoothed value (moving average). For the dynamic case (c, d), the DM is flattened only at the start of the episode for the first 40k episodes to prevent saturation. Afterward, each episode starts from the previous endpoint, thereby mimicking a continuously updated closed-loop control system. Hence, the bigger episode reward after that.
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