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FlowMaps can revolutionize robotic navigation by accurately predicting object movements based on human interaction patterns, outperforming existing methods in real-world scenarios.
Scaling self-play training directly from pixels leads to competitive autonomous driving performance without human trajectory supervision.
SHAPO redefines safe exploration by biasing policy updates toward caution in uncertain regions, leading to significant improvements in safety and performance.
