I thought of it but never had the courage (and time) to try. I've used Monte Carlo on the "Samegame" last year (a single player game) but it was a little slow. More generally, I'd like to see how can we implement an efficient simulated annealing here. Your idea of making it choose between strategies were good but you have to do a lot of computing. Do you think a good Monte Carlo could beat a good Alpha-beta ?
It would have been really interesting to see bots that learn how the opponent "think" to guess the next moves but the maps were too small for that... (a bot which learn

) I didn't have enough neural network courses to see what can be done...
