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arXiv · 1902.09335

Similarity Measures based on Local Game Trees

Sabrina Evans·Paolo Turrini
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Abstract

We study strategic similarity of game positions in two-player extensive games of perfect information, by looking at the structure of their local game trees, with the aim of improving the performance of game playing agents in detecting forcing continuations. We present a range of measures over the induced game trees and compare them against benchmark problems in chess, observing a promising level of accuracy in matching up trap states.

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Sabrina Evans, Paolo Turrini. 2019-02-25. Similarity Measures based on Local Game Trees. https://arxiv.org/abs/1902.09335

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