NIVA, a hierarchical Bayesian multi-agent traffic simulator, disentangles intention and driving-style latents and matches state-of-the-art results on the Waymo dataset.
Quantifying uncertainty in motion prediction with variational bayesian mixture,
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On Learning Closed-Loop Probabilistic Multi-Agent Simulator
NIVA, a hierarchical Bayesian multi-agent traffic simulator, disentangles intention and driving-style latents and matches state-of-the-art results on the Waymo dataset.