Quan Vuong

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

Bibliography

2024
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning.
CoRR, 2024

Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance.
CoRR, 2024

OpenVLA: An Open-Source Vision-Language-Action Model.
CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.
CoRR, 2024

Evaluating Real-World Robot Manipulation Policies in Simulation.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
CoRR, 2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.
CoRR, 2024

Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation.
CoRR, 2024

Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.
CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Robotic Offline RL from Internet Videos via Value-Function Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Robotic Offline RL from Internet Videos via Value-Function Pre-Training.
CoRR, 2023

Open-World Object Manipulation using Pre-trained Vision-Language Models.
CoRR, 2023


ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023



BridgeData V2: A Dataset for Robot Learning at Scale.
Proceedings of the Conference on Robot Learning, 2023

Open-World Object Manipulation using Pre-Trained Vision-Language Models.
Proceedings of the Conference on Robot Learning, 2023


A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Dual Generator Offline Reinforcement Learning.
CoRR, 2022

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints.
CoRR, 2022

DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning.
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.
CoRR, 2021

Machine Learning for Robotic Manipulation.
CoRR, 2021

2020
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.
CoRR, 2020

Multi-task Batch Reinforcement Learning with Metric Learning.
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.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning.
CoRR, 2019

Pre-training as Batch Meta Reinforcement Learning with tiMe.
CoRR, 2019

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
CoRR, 2019

Better Exploration with Optimistic Actor Critic.
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.
Proceedings of the 2015 International Conference on Advanced Computing and Applications, 2015


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