grandmasters typically play a small number of (recorded) games per year, would it be possible to train a neural network on lots of games to recognize what were likely moves of a player from a small number of games - so that you could have a computer to work with that would prepare you for a match with a grandmaster?
I'm wondering something similar, where maybe GMs could train against a neural network that is built off of their upcoming opponent's historical games and thus they would get more experience against that 'opponent'. Instead of having to actually have played against the opponent themselves to learn weaknesses.
I think there is an app that claims to let you play against Magnus Carlsen at different ages. I always assumed this is how they imemented that feature.
