Batch ensemble

Batch ensemble is a machine learning technique designed to improve the efficiency and scalability of ensemble models by sharing parameters across multiple ensemble members, enabling more practical uncertainty estimation and robustness in neural networks.

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Learning from demonstrations

Learning from demonstrations (LfD) is a technique in machine learning and robotics where systems acquire new skills by observing and imitating human or expert behavior. This approach enables the development of algorithms that can replicate complex tasks without explicit programming, facilitating more intuitive human-robot interaction and adaptive automation.

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