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Found 2 papers, 1 papers with code
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Modeling spatial-temporal interactions among neighboring agents is at the heart of multi-agent problems such as motion forecasting and crowd navigation.
Vehicle trajectory prediction works, but not everywhere
We further show that the generated scenes (i) are realistic since they do exist in the real world, and (ii) can be used to make existing models more robust, yielding 30-40 reductions in the off-road rate.
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