Action-Based Representation Learning for Autonomous Driving

21 Aug 2020Yi XiaoFelipe CodevillaChristopher PalAntonio M. Lopez

Human drivers produce a vast amount of data which could, in principle, be used to improve autonomous driving systems. Unfortunately, seemingly straightforward approaches for creating end-to-end driving models that map sensor data directly into driving actions are problematic in terms of interpretability, and typically have significant difficulty dealing with spurious correlations... (read more)

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