A method of obtaining well-founded and reproducible results in clinical decision making is presented. It is based on "diagnostic games", a procedure of elicitation and fo...
Game theory is popular in agent systems for designing auctions with desirable properties. However, many of these properties will only hold if the game and its properties are commo...
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Three-color parity games capture the disjunction of a B¨uchi and a co-B¨uchi condition. The most efficient known algorithm for these games is the progress measures algorithm by ...