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Few-shot Imitation Learning by Variable-Length Trajectory Retrieval from a Large and Diverse Dataset
Abstract: Imitation learning offers an effective framework for enabling robots to acquire complex skills, but typically requires a large number of labeled demonstrations, making data collection costly ...
Abstract: In this letter, we propose a novel speaker conditioning technique that leverages a variable-length reference embedding sequence for flow-based text-to-speech (TTS) architecture in the ...
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