356 citations · 633 across the 28 of their papers we have counts for
4 papers · 1 filter
Imitation Learning via Off-Policy Distribution Matching
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
When performing imitation learning from expert demonstrations, distribution matching is a popular approach, in which one alternates between estimating distribution ratios and then…
Beyond Photo Realism for Domain Adaptation from Synthetic Data
Kristofer Schlachter, Connor DeFanti, Sebastian Herscher +2
As synthetic imagery is used more frequently in training deep models, it is important to understand how different synthesis techniques impact the performance of such models. In thi…
Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson +2
We introduce a self-supervised representation learning method based on the task of temporal alignment between videos. The method trains a network using temporal cycle consistency (…
Learning Latent Plans from Play
Corey Lynch, Mohi Khansari, Ted Xiao +4
Acquiring a diverse repertoire of general-purpose skills remains an open challenge for robotics. In this work, we propose self-supervising control on top of human teleoperated play…