Improving heurisitic mini-max search by supervised learning
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
From Simple Features to Sophisticated Evaluation Functions
CG '98 Proceedings of the First International Conference on Computers and Games
Learning from Perfection. A Data Mining Approach to Evaluation Function Learning in Awari
CG '00 Revised Papers from the Second International Conference on Computers and Games
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Algorithm ELF is a nonlinear function approximator that constructs features as necessary while it updates its representation of the function that it is learning to approximate. Feature construction is guided by representational inadequacy that is associated with particular values of the base-level variables. The features have a logical form, making them easy to interpret.