Ted Xiao

发表

Learning Latent Plans from Play

Sergey Levine, Jonathan Tompson, Vikash Kumar, 2019, CoRL.

Goal-driven dynamics learning via Bayesian optimization

Sergey Levine, Claire J. Tomlin, Somil Bansal, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Generative Adversarial Networks for Model Based Reinforcement Learning with Tree Search

Ted Xiao, 2017 .

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

Sergey Levine, Brian Ichter, Alexander Toshev, 2021, ArXiv.

Actual SystemCurrent Linear Dynamics Controller Cost Function Bayesian Optimization Cost Evaluator Output Cost New Linear Dynamics Optimal Control Scheme

S. Levine, C. Tomlin, R. Calandra, 2018 .

A Literature Review of Learning and Optimization Methods Applied to Quadrotor Control

Ted Xiao, 2016 .

V ALUE F UNCTION S PACES : S KILL -C ENTRIC S TATE A BSTRACTIONS FOR L ONG -H ORIZON R EASONING

Alexander Toshev, Ted Xiao, Brian Ichter, 2021 .

Inner Monologue: Embodied Reasoning through Planning with Language Models

Peter R. Florence, S. Levine, Pierre Sermanet, 2022, CoRL.

Learning Latent Plans from Play

S. Levine, Pierre Sermanet, Vikash Kumar, 2019, CoRL.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

S. Levine, Pierre Sermanet, Vincent Vanhoucke, 2022, CoRL.

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

Ian S. Fischer, Paul Wohlhart, Adrian Li, 2022, ArXiv.

Token Turing Machines

M. Ryoo, Julian Ibarz, Kanishka Rao, 2022, ArXiv.

Intuitive Physics Modelling for Real-World Object Interactions

S. Levine, Pierre Sermanet, Yevgen Chebotar, 2022 .

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

S. Levine, Vincent Vanhoucke, M. Ryoo, 2022, Robotics: Science and Systems.

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, 2211.11736.

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, ICML.

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale pdf

Sergey Levine, Yevgen Chebotar, Karol Hausman, 2021, CoRL.

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, ArXiv.

Scaling Robot Learning with Semantically Imagined Experience

Karol Hausman, Ted Xiao, Jonathan Tompson, 2023, Robotics: Science and Systems.

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, ArXiv.

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control pdf

Karol Hausman, Julian Ibarz, Sergey Levine, 2020, ICLR.

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

S. Levine, Alexander Toshev, Ted Xiao, 2021, ICLR.

Jump-Start Reinforcement Learning

S. Levine, Karol Hausman, Ted Xiao, 2022, ICML.

Language to Rewards for Robotic Skill Synthesis

Montse Gonzalez Arenas, N. Heess, T. Erez, 2023, 2306.08647.

Scaling Robot Learning with Semantic Data Augmentation through Diffusion Models

Karol Hausman, Ted Xiao, Jonathan Tompson, 2022 .

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models

S. Levine, Karol Hausman, Ted Xiao, 2022, Robotics: Science and Systems.

Language to Rewards for Robotic Skill Synthesis

Montse Gonzalez Arenas, N. Heess, T. Erez, 2023, CoRL.

Data Sharing without Rewards in Multi-Task Ofﬂine Reinforcement Learning

Dario Amodei, S. Levine, K. Kavukcuoglu, 2022 .

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

Pannag R. Sanketi, S. Levine, Vincent Vanhoucke, 2022, Robotics: Science and Systems.

Token Turing Machines

M. Ryoo, Julian Ibarz, Kanishka Rao, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation

Chelsea Finn, A. Xie, Ted Xiao, 2023, ArXiv.

Thinking While Moving: Deep Reinforcement Learning in Concurrent Environments

Ted Xiao, 2019 .

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

Montse Gonzalez Arenas, S. Levine, P. Pastor, 2023, Robotics: Science and Systems.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

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

Karol Hausman, Chelsea Finn, Paul Wohlhart, 2023, CoRL.

Physically Grounded Vision-Language Models for Robotic Manipulation

Ted Xiao, Brian Ichter, Dorsa Sadigh, 2023, ArXiv.

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Pannag R. Sanketi, Montse Gonzalez Arenas, Karol Hausman, 2024, arXiv.org.

Evaluating Real-World Robot Manipulation Policies in Simulation

Ted Xiao, Karl Pertsch, Sean Kirmani, 2024, 2405.05941.

Octo: An Open-Source Generalist Robot Policy

Pannag R. Sanketi, Dibya Ghosh, Ted Xiao, 2024, ArXiv.

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Karol Hausman, Ted Xiao, Tianhe Yu, 2024, ArXiv.

RT-H: Action Hierarchies Using Language

Yevgen Chebotar, Suneel Belkhale, Ted Xiao, 2024, ArXiv.

Learning to Learn Faster from Human Feedback with Language Model Predictive Control

Montse Gonzalez Arenas, Vincent Vanhoucke, N. Heess, 2024, arXiv.org.

Demonstrating Large Language Models on Robots

Ted Xiao, Brian Ichter, Vikas Sindhwani, 2023, Robotics: Science and Systems.

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

N. Heess, Karol Hausman, Ted Xiao, 2024, ArXiv.

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Montse Gonzalez Arenas, Karol Hausman, Paul Wohlhart, 2023, ArXiv.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Diego Perez Liebana, William H. Guss, Alec Radford, 2022 .

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Pannag R. Sanketi, Mateo Guaman Castro, Ilija Radosavovic, 2024, ArXiv.