Game tree searching by min/max approximation
Artificial Intelligence
Conspiracy numbers for min-max search
Artificial Intelligence
Artificial Intelligence - Special issue on computer chess
Singular extensions: adding selectivity to brute-force searching
Artificial Intelligence - Special issue on computer chess
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Learning to Predict by the Methods of Temporal Differences
Machine Learning
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We present a new algorithm for selective search by iterative expansion of leaf nodes. The algorithm reasons with leaf evaluations in a way that leads to high confidence in the choice of move at the root. Performance of the algorithm is measured under a variety of conditions, as compared to minimax with α/β pruning, and to best-first minimax.