Probabilistic programs for inferring the goals of autonomous agents

17 Apr 2017Marco F. Cusumano-TownerAlexey RadulDavid WingateVikash K. Mansinghka

Intelligent systems sometimes need to infer the probable goals of people, cars, and robots, based on partial observations of their motion. This paper introduces a class of probabilistic programs for formulating and solving these problems... (read more)

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