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LLMs are poised to revolutionize reinforcement learning by enabling agents with cognitive-like abilities such as meta-reasoning and self-reflection.
Forget view consistency tricks – language-driven 3D editing leaps forward by explicitly modeling semantic relationships between 2D edits and 3D Gaussians.
Even with heavy noise and outliers, this new algorithm estimates noise covariances for Kalman filters so well that it nearly matches the impossible-to-achieve "Oracle" lower bound on performance.
