Open xiaoxl3 opened 1 month ago
Xiaoxiao! Nice test :D
Reinforcement Learning: An Approach to Decision Making
Add this plot for each subject.
plt.figure(figsize=(15,6)) sns.lineplot(grups1, x = grups1.index ,y="diff_angles", hue = "prior_std") plt.grid() plt.title(f"Subjetc {subject_id}") plt.show()
@xiaoxl3 updated in her document here.
Performance accuracy in relation to reaction time. a. Measurement of Angles: Measure the angles between the selected arrow by subjects and the prior motion showed on screen (using the estimated x/y coordinates). We can set up a distribution of the deviation angles from the real orientation to represent the performance index or accuracy. Categorize the deviation angles into specific ranges, such as "0-5 degrees" and "5-10 degrees."
We can consider the following interpretations:
Learning improvement over study session---- Models: reinforcement learning: sooner better, or slower
Learning Strategy Adjustment: