Quan Vuong
32 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (32)
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(32)
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(98)
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The Questioner
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(82)
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Century Club
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Conferences
CORL (9)
RSS (9)
ICML (5)
NIPS (5)
ICLR (3)
ECCV (1)
Top co-authors
Keywords
robot manipulation
(5)
offline reinforcement learning
(4)
imitation learning
(4)
policy learning
(2)
sample efficiency
(2)
multi-task learning
(2)
zero-shot transfer
(2)
continuous control
(2)
support constraint
(2)
domain generalization
(2)
vision-language-action model
(2)
behavior policy
(2)
embodied ai
(1)
multimodal learning
(1)
visual question answering
(1)
metric learning
(1)
contrastive learning
(1)
motion transfer
(1)
robotic manipulation
(1)
robot learning
(1)
Papers
$\pi_0.5$: a Vision-Language-Action Model with Open-World Generalization
CORL 2025
FAST: Efficient Action Tokenization for Vision-Language-Action Models
RSS 2025
Οβ: A Vision-Language-Action Flow Model for General Robot Control
RSS 2025
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
ICML 2025
What's the Move? Hybrid Imitation Learning via Salient Points
ICLR 2025
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
OpenVLA: An Open-Source Vision-Language-Action Model
CORL 2024
Evaluating Real-World Robot Manipulation Policies in Simulation
CORL 2024
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
ECCV 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
RT-H: Action Hierarchies using Language
RSS 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
RSS 2024
MIRAGE: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting
RSS 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
RSS 2024
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CORL 2024
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning
CORL 2024
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CORL 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CORL 2023
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
BridgeData V2: A Dataset for Robot Learning at Scale
CORL 2023
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints
NIPS 2023
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
NIPS 2022
First Order Constrained Optimization in Policy Space
NIPS 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
ICML 2020
Multi-task Batch Reinforcement Learning with Metric Learning
NIPS 2020
Better Exploration with Optimistic Actor Critic
NIPS 2019
Supervised Policy Update for Deep Reinforcement Learning
ICLR 2019