I wanted to contact the authors directly but can't seem to find contact info at the moment, with a question. I hope some of you might know enough to answer it.

I wanted to contact the authors directly but can't seem to find contact info at the moment, with a question. I hope some of you might know enough to answer it. I'm interested in applying this method, or a similar neural-network / tabula rasa based method to the game of Scrabble. I read the original AlphaGo Zero paper and they mentioned that this method works best for games of perfect information. The standard Scrabble AI right now is quite good and can definitely beat top experts close to 50% of the time, but it uses simple Monte Carlo simulations to evaluate positions and just picks the ones that perform better. It doesn't quite account for defensive considerations or other subtleties of the game. I was wondering if anyone who had more insight into MCTS and NN would be able to talk me through how to apply this to Scrabble, or if it even makes sense. One of the issues I can see currently would be very slow convergence; as it has a luck factor, the algorithm could make occasional terrible moves and still win games, and thus be "wrongly trained".