We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
We derive a recursive formula for expected utility values in imperfect- information game trees, and an imperfectinformation game tree search algorithm based on it. The formula and...
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
Abstract. Years of work have gone into algorithms and optimizations for twoplayer perfect-information games such as Chess and Checkers. It is only more recently that serious resear...
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...