Predicting the opponent's action using the k-nearest neighbor algorithm and a substring tree structure
2015
This paper proposes a technique for predicting the opponent's next action accurately by combining the k-nearest neighbor algorithm and a substring tree structure. Furthermore, our AI, employing the proposed technique, is enhanced by the implementation of Boltzmann equation control. The proposed method and the enhanced AI are evaluated on a fighting game AI competition platform, and their results attest to their effectiveness.
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