Leaf Reweight
Turns the nineteen weights of the reference search's hand-written board-scoring function into run-time data, so that refitted weight vectors can be tested with nothing else about the search changed.
rejectedreproducedEach 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.
Score a board with a hand-written sum of visible traits, then play the column whose board scores highest.
Read the primer →Learn from past games how much each column is worth, so the player can rank moves without searching ahead.
Read the primer →Let a planner that can see the future label positions, then train a player that cannot see the future to imitate it.
Read the primer →No approach page matches that search.