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Found 4 papers, 0 papers with code
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets
Concretely, we propose a simple approach that uses a small amount of downstream expert data to selectively query relevant behaviors from an offline, unlabeled dataset (including many sub-optimal behaviors).
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
In a set of simulated tasks, we find that our system benefits from using audio, and that by using online interventions we are able to improve the success rate of offline imitation learning by ~20%.
Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions
This paper improves wind power prediction via weather forecast-contextualized Long Short-Term Memory Neural Network (LSTM) models.
Application of Autoencoder-Assisted Recurrent Neural Networks to Prevent Cases of Sudden Infant Death Syndrome
This project develops and trains a Recurrent Neural Network (RNN) that monitors sleeping infants from an auxiliary microphone for cases of Sudden Infant Death Syndrome (SIDS), manifested in sudden or gradual respiratory arrest.
