Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
Abstract: Imitation learning (IL) aims to extract knowledge from human experts’ demonstrations or artificially created agents to replicate their behaviors. It promotes interdisciplinary communication ...
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