Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to ...
Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Abstract: Uncertainty modeling has become increasingly important in power system decision-making. The widely-used tractable uncertainty modeling method—chance constraints with Conditional Value at ...
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