Value and policy learning
Monte Carlo return
Score every column with what whole games that started from it actually ended up earning, then always drop in the column with the highest learned number.
rejectedApproaches
Each page here is one theory of how to choose a column, grouped by the technique it uses; the engines that play the games and the instruments that measure them live under Engines and Diagnostics.
Value and policy learning
Instead of searching ahead, train a model on past games to judge a board or pick a column, and learn why that kept failing.
No approach page matches that search.