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MILER, an end-to-end policy framework with zero-shot sim-to-real transfer of both perception and control, is presented and extensively evaluated on a diverse test track comprising numerous challenges.
Raw radar data, typically discarded in favor of beamformed representations, surprisingly contains enough spatial information to learn scene geometry.