Quan Vuong

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation.

[BibT_eX]

[DOI]

CoRR, 2024

Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.

[BibT_eX]

[DOI]

Lawrence Yunliang Chen

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.

[BibT_eX]

[DOI]

Isabel Leal

Krzysztof Choromanski

CoRR, 2023

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

[BibT_eX]

[DOI]

Montserrat Gonzalez Arenas

Kanishka Rao

Wenhao Yu

Chuyuan Fu

Keerthana Gopalakrishnan

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Austin Stone

Ted Xiao

Yao Lu

Keerthana Gopalakrishnan

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PaLM-E: An Embodied Multimodal Language Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

[BibT_eX]

[DOI]

Philippe Hansen-Estruch

Proceedings of the Conference on Robot Learning, 2023

Open-World Object Manipulation using Pre-Trained Vision-Language Models.

[BibT_eX]

[DOI]

Austin Stone

Ted Xiao

Yao Lu

Keerthana Gopalakrishnan

Proceedings of the Conference on Robot Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction.

[BibT_eX]

[DOI]

Henrik I. Christensen

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Dual Generator Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Single RGB-D Camera Teleoperation for General Robotic Manipulation.

[BibT_eX]

[DOI]

Henrik I. Christensen

CoRR, 2021

Machine Learning for Robotic Manipulation.

[BibT_eX]

[DOI]

Quan Vuong

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

Yiming Zhang

Quan Vuong

Keith W. Ross

CoRR, 2020

Multi-task Batch Reinforcement Learning with Metric Learning.

[BibT_eX]

[DOI]

Henrik I. Christensen

Hao Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

First Order Constrained Optimization in Policy Space.

[BibT_eX]

[DOI]

Yiming Zhang

Quan Vuong

Keith W. Ross

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Pre-training as Batch Meta Reinforcement Learning with tiMe.

[BibT_eX]

[DOI]

Henrik Iskov Christensen

CoRR, 2019

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

[BibT_eX]

[DOI]

Henrik I. Christensen

CoRR, 2019

Better Exploration with Optimistic Actor Critic.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2015

Distributed Event Monitoring for Software Defined Networks.

[BibT_eX]

[DOI]

Quan Vuong

Ha Manh Tran

Son Thanh Le

Proceedings of the 2015 International Conference on Advanced Computing and Applications, 2015

Quan Vuong

Bibliography

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