Ted Xiao | DeepAI

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∙ 07/28/2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

We study how vision-language models trained on Internet-scale data can b...

0 Anthony Brohan, et al. ∙

∙ 07/07/2023

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

What makes generalization hard for imitation learning in visual robotic ...

0 Annie Xie, et al. ∙

∙ 06/14/2023

Language to Rewards for Robotic Skill Synthesis

Large language models (LLMs) have demonstrated exciting progress in acqu...

0 Wenhao Yu, et al. ∙

∙ 05/05/2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators

We describe a system for deep reinforcement learning of robotic manipula...

0 Alexander Herzog, et al. ∙

∙ 03/02/2023

Open-World Object Manipulation using Pre-trained Vision-Language Models

For robots to follow instructions from people, they must be able to conn...

0 Austin Stone, et al. ∙

∙ 02/22/2023

Scaling Robot Learning with Semantically Imagined Experience

Recent advances in robot learning have shown promise in enabling robots ...

0 Tianhe Yu, et al. ∙

∙ 12/13/2022

RT-1: Robotics Transformer for Real-World Control at Scale

By transferring knowledge from large, diverse, task-agnostic datasets, m...

0 Anthony Brohan, et al. ∙

∙ 11/21/2022

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

In recent years, much progress has been made in learning robotic manipul...

0 Ted Xiao, et al. ∙

∙ 11/16/2022

Token Turing Machines

We propose Token Turing Machines (TTM), a sequential, autoregressive Tra...

0 Michael S. Ryoo, et al. ∙

∙ 10/15/2022

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale

The predictive information, the mutual information between the past and ...

0 Kuang-Huei Lee, et al. ∙

∙ 07/12/2022

Inner Monologue: Embodied Reasoning through Planning with Language Models

Recent works have shown how the reasoning capabilities of Large Language...

8 Wenlong Huang, et al. ∙

∙ 04/05/2022

Jump-Start Reinforcement Learning

Reinforcement learning (RL) provides a theoretical framework for continu...

0 Ikechukwu Uchendu, et al. ∙

∙ 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...

2 Michael Ahn, et al. ∙

∙ 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...

0 Yao Lu, et al. ∙

∙ 11/04/2021

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning

Reinforcement learning can train policies that effectively perform compl...

10 Dhruv Shah, et al. ∙

∙ 04/15/2021

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills

We consider the problem of learning useful robotic skills from previousl...

11 Yevgen Chebotar, et al. ∙

∙ 04/13/2020

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

We study reinforcement learning in settings where sampling an action fro...

17 Ted Xiao, et al. ∙

∙ 03/05/2019

Learning Latent Plans from Play

We propose learning from teleoperated play data (LfP) as a way to scale ...

0 Corey Lynch, et al. ∙

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