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Found 2 papers, 1 papers with code
Linking vision and motion for self-supervised object-centric perception
Object-centric representations enable autonomous driving algorithms to reason about interactions between many independent agents and scene features.
Maximum Likelihood Constraint Inference from Stochastic Demonstrations
Stochastic models, however, can capture the uncertainty and risk tolerance that are often present in real systems of interest.
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