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06/16/2023
Robot Learning with Sensorimotor Pre-training
We present a self-supervised sensorimotor pre-training approach for robo...
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03/06/2023
Learning Humanoid Locomotion with Transformers
We present a sim-to-real learning-based approach for real-world humanoid...
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11/23/2022
Learning to Imitate Object Interactions from Internet Videos
We study the problem of imitating object interactions from Internet vide...
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10/06/2022
Real-World Robot Learning with Masked Visual Pre-training
In this work, we explore self-supervised visual pre-training on images f...
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09/26/2022
Learning to Learn with Generative Models of Neural Network Checkpoints
We explore a data-driven approach for learning to optimize neural networ...
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03/11/2022
Masked Visual Pre-training for Motor Control
This paper shows that self-supervised visual pre-training from real-worl...
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12/17/2020
Reconstructing Hand-Object Interactions in the Wild
In this work we explore reconstructing hand-object interactions in the w...
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04/07/2020
State-Only Imitation Learning for Dexterous Manipulation
Dexterous manipulation has been a long-standing challenge in robotics. R...
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03/30/2020
Designing Network Design Spaces
In this work, we present a new network design paradigm. Our goal is to h...
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05/30/2019
On Network Design Spaces for Visual Recognition
Over the past several years progress in designing better neural network ...
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04/18/2019
Attentive Single-Tasking of Multiple Tasks
In this work we address task interference in universal networks by consi...
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12/12/2017