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(A) Distribution of differences in reward probabilities between the actions of each trial. (B) Increasing the range of probabilities increases the average linear effect between model-based control and reward for a parameter space associated with high inverse temperatures and relatively low learning rate. Average parameter fits in the original report do not lie within this region of increased sensitivity to the accuracy-demand trade-off.
