Line Plot from Scientific Research

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Graph showing reward progression over time for microrobots in normal (blue line) and stronger (green line) flow conditions, highlighting differences in learning and adaptation. Solid lines represent the EWMAs ( = 0.0015) of the reward. In the normal flow, rewards steadily improve and stabilize around 200,000 steps. In the stronger flow, initial difficulties lead to more negative rewards, but the algorithm shows notable improvement by 400,000 steps.
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