research
∙
06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
share
research
∙
05/06/2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Reinforcement learning (RL) has been shown to be effective at learning c...
research
∙
10/12/2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
We study the problem of robotic stacking with objects of complex geometr...
research
∙
07/01/2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Deep reinforcement learning (RL) algorithms can use high-capacity deep n...
research
∙
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...
research
∙
04/04/2018
Stochastic Adversarial Video Prediction
Being able to predict what may happen in the future requires an in-depth...
research
∙
10/15/2017
Self-Supervised Visual Planning with Temporal Skip Connections
In order to autonomously learn wide repertoires of complex skills, robot...
research
∙
03/31/2017