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Tongji University
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Learning dynamics through outcomes rather than parameters leads to significantly more robust policy adaptation in the face of real-world changes.
Autonomous driving systems can now learn continuously without forgetting, thanks to a new method that disentangles true driving skills from spurious correlations caused by sensor noise and environmental changes.
