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Existing robotic methods falter in tackling fundamental physical reasoning challenges, as evidenced by KinDER's rigorous benchmark evaluation.
Robots can now learn better world models through unsupervised self-play, outperforming models trained on human data by 40% in failure prediction and 65% in real-world RL.
