Yes, that's why I mentioned that this gives you at least one possible measure of 'strategicness' which can be computed automatically. Measure the variance across policies (skill level, which maybe you could define physically as some sort of 'mean absolute circular error' in strokes?), and now you can do quite simple optimization routines to modify courses. Like take a course, randomly flip some squares to sand/water/grass/etc, compute the new strategicness, and keep it if it's higher. Random search, simulated annealing, CMA-ES, novelty search, lots of easy possibilities I bet even a LLM could implement for you these days which would let you take an existing golf course and search for new modified layouts with higher strategy, to inspire a human expert in modifying a course.