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Fixed execution horizons in WAMs are inefficient, but TempoWAM's adaptive replanning can cut inference needs by nearly 27% while improving success rates on complex tasks.
Forget static imitation learning: LaST-R1 unlocks near-perfect robotic manipulation (99.8% success) by adaptively reasoning about physical dynamics *before* acting, then refining with RL.
By explicitly encoding 3D geometry, GeoDrive achieves more realistic and controllable autonomous driving scene modeling, outperforming prior world models in action accuracy and spatial awareness.
