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AdaVoMP uses a sparse adaptive voxel structure and transformer encoder-decoder to predict spatially-varying mechanical properties for 3D objects, enabling high-resolution deformable simulations with improved accuracy and efficiency.
OpenAI demonstrates that competitive self-play in simulated 3D robot environments enables AI agents to discover complex physical behaviors like tackling, ducking, and faking without explicit instruction, suggesting self-play will be fundamental to future powerful AI systems.