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A new paper introduces LPDS, a generative inverse modeling framework that maps desired fusion outcomes and target configurations to optimized laser pulse shapes for inertial confinement fusion, using multi-objective physics-constrained training and control mechanisms like constraint-conditioning and inpainting.
Introduces Masked Visual Actions, a pixel-space control interface that expresses actions as partially revealed trajectories, enabling a single model to act as forward dynamics model, recover robot behavior, and support model-based planning and inverse modeling with only 15 hours of training data.