Evolutionary optimisation
Evolving the leaf weights at the depth they are used
Evolves the reference evaluator on complete games, then tests the frozen winner once on unseen games.
Approaches
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.
Evolutionary optimisation
Tune a player's weights by playing complete games, keeping the settings that scored best, and repeating.
Read the primer →Risk and survival objectives
Judge a move by its worst outcomes, or by how long the game keeps going, and see whether caution extends life.
Read the primer →No approach page matches that search.