منابع مشابه
Learning to Play Mario
Computer Games are interesting test beds for research in Artificial Intelligence and Machine Learning. Games usually have continuous state spaces, large action spaces and are characterized by complex relationships between components. Without applying abstraction and generalizations, learning in computer games domain becomes infeasible. Through this work, we investigate some designs that facilit...
متن کاملMario Kart Is Hard
Nintendo’s Mario Kart is perhaps the most popular racing video game franchise. Players race alone or against opponents to finish in the fastest time possible. Players can also use items to attack and defend from other racers. We prove two hardness results for generalized Mario Kart: deciding whether a driver can finish a course alone in some given time is NP-hard, and deciding whether a player ...
متن کاملAustin Bradford Hill (1897-1991)
During the twentieth century, Austin Bradford Hill researched diseases and their causes in England and developed the Bradford Hill criteria, which comprise the minimal requirements that must be met for a causal relationship to be established between a factor and a disease. Hill also suggested that researchers should randomize clinical trials to evaluate the effects of a drug or treatment by mon...
متن کاملCharles Robert Harington, 1897-1972.
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متن کاملLearning Theory and Approximation 1897
Learning theory studies data structures from samples and aims at understanding unknown function relations behind them. This leads to interesting theoretical problems which can be often attacked with methods from Approximation Theory. This workshop the second one of this type at the MFO has concentrated on the following recent topics: Learning of manifolds and the geometry of data; sparsity and ...
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ژورنال
عنوان ژورنال: Hispanic American Historical Review
سال: 1960
ISSN: 0018-2168,1527-1900
DOI: 10.1215/00182168-40.1.75