How to Solve a Time Series Problem With Dynamic Time Worping

The goal is to learn, not in image space, but in x y space. And so we use g t t w to solve that problem. It's kind of a very basic imitation learning type set up. But it's also an area where optimal transport is often considered in insteart of many variations. Do you have any thoughts on where this line research should go next?