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Bayesian Opponent Modeling in Multiplayer Imperfect-Information Games
In many real-world settings agents engage in strategic interactions with multiple opposing agents who can employ a wide variety of strategies.
Prediction of Bayesian Intervals for Tropical Storms
Building on recent research for prediction of hurricane trajectories using recurrent neural networks (RNNs), we have developed improved methods and generalized the approach to predict Bayesian intervals in addition to simple point estimates.
Most Important Fundamental Rule of Poker Strategy
Poker is a large complex game of imperfect information, which has been singled out as a major AI challenge problem.
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