The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
Timor Timuri, Pieter Spronck, H. Jaap van den Heri...
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciļ...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponentās action frequencies and building an opp...
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Abstractā Fingerprinting is a technique that permits automatic classiļ¬cation of strategies for playing a game. In this study the evolution of strategies for playing the iterate...