Perhaps running the learning process multiple times and averaging(?) the results would eliminate irrelevant motions. Or perhaps the irrelevant parts are critical to the rest of the movements, and removing them would break things.
If the motions are truly irrelevant, then yes, they would disappear. But they could disappear as a function of the number of trials, so anything that still persists after 50 trials would take a long time to get rid of.
It is general a hard problem in adaptive learning algorithms that they only produce results. You can't tell the superstition from the intuition.
Comments
Perhaps running the learning process multiple times and averaging(?) the results would eliminate irrelevant motions. Or perhaps the irrelevant parts are critical to the rest of the movements, and removing them would break things.
If the motions are truly irrelevant, then yes, they would disappear. But they could disappear as a function of the number of trials, so anything that still persists after 50 trials would take a long time to get rid of.
It is general a hard problem in adaptive learning algorithms that they only produce results. You can't tell the superstition from the intuition.