Measurements

This page describes what different reported WhiteICE performance numbers means.

• the most important performance number is "average change". It tells how much non-random policy actions on the average change reinforcement reward (change of reward), positive values mean the software is working correctly
• "policy vas random percentage" tells how much better in percentages (%) policy actions (non-random) actions are when compared random stimuli
• finally there is "linear distance change" that tell how much better linear model final value (distance of policy) is than linear predicted value of random final values