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The game of darts has enjoyed great growth over the past decade with the perception of darts moving from that of a pub game to a game that is regularly scheduled on prime-time television in many countries including the U.K., Germany, the Netherlands and Australia among others. In this paper we analyze a novel data-set on sixteen of the top professional darts players in the world during the 2019 season. We use this data-set to fit skill-models to the players and use the fitted models to understand the variation in skills across these players. We then formulate and solve the dynamic zero-sum-games (ZSGs) that darts players face and to the best of our knowledge we are the first to do so. Using the fitted skill models and our ZSG problem formulation we quantify the importance of playing strategically in darts. We are also able to analyze interesting specific game situations including some real-world situations that have been the subject of some debate among darts fans and experts.
In this paper the extended model of Minority game (MG), incorporating variable number of agents and therefore called Grand Canonical, is used for prediction. We proved that the best MG-based predictor is constituted by a tremendously degenerated syst
Robots deployed in real-world environments should operate safely in a robust manner. In scenarios where an ego agent navigates in an environment with multiple other non-ego agents, two modes of safety are commonly proposed -- adversarial robustness a
Computational advertising has been studied to design efficient marketing strategies that maximize the number of acquired customers. In an increased competitive market, however, a market leader (a leader) requires the acquisition of new customers as w
Machine learning processes, e.g. learning in games, can be viewed as non-linear dynamical systems. In general, such systems exhibit a wide spectrum of behaviors, ranging from stability/recurrence to the undesirable phenomena of chaos (or butterfly ef
We introduce a new non-zero-sum game of optimal stopping with asymmetric information. Given a stochastic process modelling the value of an asset, one player has full access to the information and observes the process completely, while the other playe