no code implementations • 18 Apr 2023 • Maximilian Du, Suraj Nair, Dorsa Sadigh, Chelsea Finn
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).
no code implementations • 30 May 2022 • Maximilian Du, Olivia Y. Lee, Suraj Nair, Chelsea Finn
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%.
no code implementations • 30 Jun 2019 • Maximilian Du
This paper improves wind power prediction via weather forecast-contextualized Long Short-Term Memory Neural Network (LSTM) models.
no code implementations • 28 Apr 2019 • Maximilian Du
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.