Abstract: This study presents an innovative framework leveraging Graph Neural Networks (GNNs) integrated with reinforcement learning (RL) and meta-learning for predictive energy optimization in ...
The Motherboard of Reality: The simulation does not assume space is naturally 3D. Based on established lattice gauge theory, the code’s baseline operator continuously “stitches” minimal ...
Abstract: The optimization of energy systems within the steel industry faces challenges due to the complexity of nonconvex models as well as supply and demand uncertainty. To address these issues, a ...
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