PhD student, Carnegie Mellon University
2 papers at NeurIPS 2025
We present an algorithm to learn parameterized skills from demonstration data and show that our approach results in improved adaptation to unseen tasks.
We present a data-centric pretraining framework that builds safety into the model from the start