Q. Vuong

发表

Meta Reinforcement Learning from observational data.

K. Ciosek, Minghua Liu, Shuang Liu, 2019 .

ULTI-DIMENSIONAL A CTION S PACE

K. Ross, Q. Vuong, Yiming Zhang, 2018 .

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction

Yuzhe Qin, Hao Su, Henrik I. Christensen, 2022, 2210.02685.

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

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

PaLM-E: An Embodied Multimodal Language Model

Mehdi S. M. Sajjadi, Peter R. Florence, S. Levine, 2023, ICML.

Better Exploration with Optimistic Actor-Critic

Robert Loftin, Katja Hofmann, Quan Vuong, 2019, NeurIPS.

Multi-task Batch Reinforcement Learning with Metric Learning

K. Ciosek, Jiachen Li, Minghua Liu, 2019, NeurIPS.

Machine Learning for Robotic Manipulation pdf

Quan Vuong, Q. Vuong, 2021, ArXiv.

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

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

Dual Generator Offline Reinforcement Learning

S. Levine, Aviral Kumar, Yevgen Chebotar, 2022, ArXiv.

DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning

S. Levine, Aviral Kumar, Yevgen Chebotar, 2022, Neural Information Processing Systems.

First Order Constrained Optimization in Policy Space

K. Ross, Q. Vuong, Yiming Zhang, 2020, NeurIPS.

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction

Yuzhe Qin, Hao Su, Henrik I. Christensen, 2022, ArXiv.

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? pdf

Henrik I. Christensen, Sharad Vikram, Sicun Gao, 2019, ArXiv.

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling

K. Ross, Che Wang, Yanqiu Wu, 2019, ICML.

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

S. Levine, Aviral Kumar, Yevgen Chebotar, 2022, ArXiv.

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

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

Supervised Policy Update for Deep Reinforcement Learning

Yiming Zhang, Keith W. Ross, Quan Vuong, 2018, ICLR.

Efficient Entropy for Policy Gradient with Multidimensional Action Space pdf

Keith W. Ross, Yiming Zhang, Quan Ho Vuong, 2018, ICLR.

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

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

Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning

Keith Ross, Yanqiu Wu, Quan Vuong, 2019, ArXiv.

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

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

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions

S. Levine, Karol Hausman, Ofir Nachum, 2023, CoRL.

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.

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction

Yuzhe Qin, Hao Su, Henrik I. Christensen, 2022, 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).

Single RGB-D Camera Teleoperation for General Robotic Manipulation pdf

Xiaolong Wang, Runlin Guo, Yuzhe Qin, 2021, ArXiv.

Robotic Offline RL from Internet Videos via Value-Function Pre-Training

Aviral Kumar, Yevgen Chebotar, Dibya Ghosh, 2023, ArXiv.

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning pdf

Yiming Zhang, Keith W. Ross, Quan Vuong, 2020, ArXiv.

Supervised Policy Update pdf

Yiming Zhang, Keith W. Ross, Quan Ho Vuong, 2018, 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.

Pre-training as Batch Meta Reinforcement Learning with tiMe

K. Ciosek, Minghua Liu, Shuang Liu, 2019, ArXiv.

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

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

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

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

BridgeData V2: A Dataset for Robot Learning at Scale

S. Levine, Chelsea Finn, Tony Zhao, 2023, CoRL.

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.