When Does Model-Based Control Pay Off?
Fig 11
The influence of removing binomial noise from the reward distributions at the second stage.
(A) The surface plot of the relationship between model-based control and reward in the novel two-step task with reward payoffs at the second stage. The inclusion of this fifth factor substantially increased the accuracy-demand trade-off in the two-step paradigm. (B) An example of the average relationship between the weighting parameter and reward rate with inverse temperature = 10 and α = 0.4.