Q-learning and value 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.
Q-learning and value learning
Learn from past games how much each column is worth, so the player can rank moves without searching ahead.
Read the primer →No approach page matches that search.