research
∙
05/30/2022
Multi-Game Decision Transformers
A longstanding goal of the field of AI is a strategy for compiling diver...
share
research
∙
04/04/2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Large language models can encode a wealth of semantic knowledge about th...
research
∙
02/15/2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
In this work we investigate and demonstrate benefits of a Bayesian appro...
research
∙
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...
research
∙
02/03/2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Recent work in visual end-to-end learning for robotics has shown the pro...
research
∙
11/09/2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Robotic skills can be learned via imitation learning (IL) using user-pro...
research
∙
11/06/2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
The success of deep reinforcement learning (RL) and imitation learning (...
research
∙
07/10/2020
Meta-Learning Requires Meta-Augmentation
Meta-learning algorithms aim to learn two components: a model that predi...
research
∙
04/13/2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
We study reinforcement learning in settings where sampling an action fro...
research
∙
02/25/2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
While robot learning has demonstrated promising results for enabling rob...
research
∙
06/07/2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Imitation learning allows agents to learn complex behaviors from demonst...
research
∙
11/16/2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Well structured visual representations can make robot learning faster an...
research
∙
10/02/2018
Generative Ensembles for Robust Anomaly Detection
Deep generative models are capable of learning probability distributions...
research
∙
06/27/2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
In this paper, we study the problem of learning vision-based dynamic man...
research
∙
02/28/2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
In this paper, we explore deep reinforcement learning algorithms for vis...
research
∙
12/20/2017
Sim2Real View Invariant Visual Servoing by Recurrent Control
Humans are remarkably proficient at controlling their limbs and tools fr...
research
∙
07/06/2017
End-to-End Learning of Semantic Grasping
We consider the task of semantic robotic grasping, in which a robot pick...
research
∙
11/03/2016
