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Learning Reward for Physical Skills using Large Language Model
We aim to extract task knowledge from LLMs using environment feedback to create efficient reward functions for physical skills.
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations.
Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition
To solve these two problems, based on the existing Parkinson speech feature data set, a deep double-side learning ensemble model is designed in this paper that can reconstruct speech features and samples deeply and simultaneously.
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