Vien Anh Ngo

5 papers · 2021–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICLR (3) CoRL (2)

Top co-authors

Gerhard Neumann (5) Fabian Otto (3) Philipp Becker (3) Hanna Ziesche (2) Huy Le (1) Tai Hoang (1) Hanna Carolin Maria Ziesche (1) Hongyi Zhou (1) Ning Gao (1) Onur Celik (1)

Research topics

Artificial Intelligence (4) Deep Learning (3) Core AI (3) Machine Learning (2) Reinforcement Learning (2) Methods (2) Optimization & Theory (2) Computer Vision (1) Robotics (1) Analysis (1) Applications (1) Architectures (1) Capabilities (1) Learning Paradigms (1) Learning Types (1)

Keywords

deep reinforcement learning (3) reinforcement learning (1) few-shot learning (1) black-box optimization (1) pose estimation (1) policy gradient (1) sample complexity (1) point cloud (1) importance sampling (1) off-policy learning (1) object segmentation (1) robot manipulation (1) proximal policy optimization (1) robotic control (1) heterogeneous graph (1) trust region optimization (1) novel object (1) movement primitive (1) deformable object manipulation (1) gaussian policy (1)

Papers

Efficient Off-Policy Learning for High-Dimensional Action Spaces ICLR 2025 Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects ICLR 2025 SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects CoRL 2023 Deep Black-Box Reinforcement Learning with Movement Primitives CoRL 2022 Differentiable Trust Region Layers for Deep Reinforcement Learning ICLR 2021