research
∙
05/25/2023
Imitating Task and Motion Planning with Visuomotor Transformers
Imitation learning is a powerful tool for training robot manipulation po...
share
research
∙
12/02/2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
In this paper, we explore how we can build upon the data and models of I...
research
∙
10/28/2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Despite the potential of reinforcement learning (RL) for building genera...
research
∙
06/16/2020
Accelerating Online Reinforcement Learning with Offline Datasets
Reinforcement learning provides an appealing formalism for learning cont...
research
∙
02/25/2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
While robot learning has demonstrated promising results for enabling rob...
research
∙
10/17/2019
Autoregressive Models: What Are They Good For?
Autoregressive (AR) models have become a popular tool for unsupervised l...
research
∙
03/08/2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
In standard reinforcement learning, each new skill requires a manually-d...
research
∙
07/12/2018
Visual Reinforcement Learning with Imagined Goals
For an autonomous agent to fulfill a wide range of user-specified goals ...
research
∙
03/19/2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Model-free deep reinforcement learning has been shown to exhibit good pe...
research
∙
02/25/2018