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Embodied agents can now remember objects they never touched by tracking their resting locations and inferring moves from repeated evidence, boosting downstream task accuracy by over 10%.
Expert calibration alone isn't enough for soft-routed MoE models; an innovative adversarial reweighting approach is needed to tackle distribution shifts effectively.
Achieve safe RL exploration from day one without conservative optimization or hyperparameter tuning, by probabilistically regulating a new policy based on a safe reference policy.
