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Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control
Online residual learning can reduce model mismatch in predictive control, but passive data collection may fail to adequately cover states that become important later in the task. Task-agnostic active learning targets uncertain or informative regions, but information acquired in such regions does not
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