Method and device for modeling a behavior with synthetic training data

In one implementation, a method for modeling a behavior with synthetic training data. The method includes: obtaining source content that includes an entity performing one or more actions within an environment; generating a first environment characterization vector characterizing the environment; gen...

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Hauptverfasser: Drummond, Mark, Sivapurapu, Siva Chandra Mouli, Manglik, Aashi, Ahn, Edward S, Budhram, Shaun, Mahasseni, Behrooz
Format: Patent
Sprache:eng
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Zusammenfassung:In one implementation, a method for modeling a behavior with synthetic training data. The method includes: obtaining source content that includes an entity performing one or more actions within an environment; generating a first environment characterization vector characterizing the environment; generating a first set of behavioral trajectories associated with the one or more actions of the entity based on the source content and the first characterization vector for the environment; generating a second environment characterization vector for the environment by perturbing the first environment characterization vector; generating a second set of behavioral trajectories associated with one or more potential actions of the entity based on the source content and the second characterization vector for the environment; and training a behavior model for a virtual agent based on the first and second sets of behavioral trajectories in order to imitate the entity.