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Quan Vuong

32 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (32)
πŸ—ΊοΈ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (17) 🧬 Topic Evolution πŸ‘₯ Mega-Team (98) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (82) ⚑ Prolific Year (15) πŸ’Ž Century Club (32)

Conferences

CORL (9) RSS (9) ICML (5) NIPS (5) ICLR (3) ECCV (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 Ο€β‚€: 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