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Peking University
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Achieving a mean visual order consistency of 0.9872, Robo-Dopamine 2.0 significantly outperforms traditional reward models, demonstrating its superior ability to handle OOD scenarios in robotic manipulation.
Action-conditioned world models may be failing in fundamental ways, with systematic degradation in simulator fidelity revealed by a new diagnostic framework.
