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10/11/2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials
Recent progress in deep learning highlights the tremendous potential of ...
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02/04/2022
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
In this paper, we study the problem of enabling a vision-based robotic m...
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09/27/2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Robot learning holds the promise of learning policies that generalize br...
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12/30/2020
Model-Based Visual Planning with Self-Supervised Functional Distances
A generalist robot must be able to complete a variety of tasks in its en...
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06/23/2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
The ability to predict and plan into the future is fundamental for agent...
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03/16/2020
OmniTact: A Multi-Directional High Resolution Touch Sensor
Incorporating touch as a sensing modality for robots can enable finer an...
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10/24/2019
RoboNet: Large-Scale Multi-Robot Learning
Robot learning has emerged as a promising tool for taming the complexity...
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04/11/2019
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Machine learning techniques have enabled robots to learn narrow, yet com...
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03/11/2019
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Touch sensing is widely acknowledged to be important for dexterous robot...
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12/03/2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Deep reinforcement learning (RL) algorithms can learn complex robotic sk...
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10/06/2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
Prediction is an appealing objective for self-supervised learning of beh...
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08/23/2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Prediction is arguably one of the most basic functions of an intelligent...
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04/04/2018
Stochastic Adversarial Video Prediction
Being able to predict what may happen in the future requires an in-depth...
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10/15/2017
