Ngo Anh Vien

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 60

Top Topics

Evolution Strategy

Cluttered Scenes

Covariance Matrix

Reinforcement Learning

Top Venues

Publications

Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien
Uncertainty-driven Exploration Strategies for Online Grasp Learning. ICRA (2024)
Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. CoRR (2024)
Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger
Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. ICRA (2024)
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
Pseudo Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking. ICRA (2024)
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking. CoRR (2024)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR (2024)
Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien
Model-free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. CoRR (2023)
Philipp Blättner, Johannes Brand, Gerhard Neumann, Ngo Anh Vien
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes. CoRR (2023)
Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien
Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. IROS (2023)
Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. IEEE Robotics Autom. Lett. 8 (9) (2023)
Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRR (2023)
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien
Uncertainty-driven Exploration Strategies for Online Grasp Learning. CoRR (2023)
Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. CoRL (2023)
Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. CoRR (2023)
Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
What Matters For Meta-Learning Vision Regression Tasks? CoRR (2022)
Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. CoRR (2022)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL (2022)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR (2022)
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Hierarchical Policy Learning for Mechanical Search. ICRA (2022)
Ilyes Toumi, Andreas Orthey, Alexander von Rohr, Ngo Anh Vien
Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach. CoRR (2022)
Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
What Matters For Meta-Learning Vision Regression Tasks? CVPR (2022)
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA (2022)
Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. ECCV (39) (2022)
Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann
Hierarchical Policy Learning for Mechanical Search. CoRR (2022)
Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. CoRR (2022)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR (2021)
Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. CoRR (2021)
Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS (2021)
Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán F. McLoone
Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. IROS (2021)
Thien Van Luong, Youngwook Ko, Michail Matthaiou, Ngo Anh Vien, Minh-Tuan Le, Vu-Duc Ngo
Deep Learning-Aided Multicarrier Systems. IEEE Trans. Wirel. Commun. 20 (3) (2021)
Khoi Khac Nguyen, Ngo Anh Vien, Long Dinh Nguyen, Minh-Tuan Le, Lajos Hanzo, Trung Q. Duong
Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning. IEEE Access 9 (2021)
Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung
Constrained representation learning for recurrent policy optimisation under uncertainty. Adapt. Behav. 29 (3) (2021)
Ngo Anh Vien, Gerhard Neumann
Differentiable Robust LQR Layers. CoRR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR (2021)
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. CoRR (2021)
Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. CoRR (2020)
Abdullahi Abubakar, Sakil Barbhuiya, Peter Kilpatrick, Ngo Anh Vien, Dimitrios S. Nikolopoulos
Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation. CLOSER (2020)
Tai Hoang, Ngo Anh Vien
Bayes-Adaptive Deep Model-Based Policy Optimisation. CoRR (2020)
Dang Quang Nguyen, Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung
Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process. Appl. Intell. 50 (11) (2020)
Tai Hoang, Ngo Anh Vien
Graph-Based Motion Planning Networks. ECML/PKDD (2) (2020)
Viet-Hung Dang, Hoang Huu Viet, Nguyen Duc Thang, Ngo Anh Vien, Le Anh Tuan
Improving Path Planning Methods in 2D Grid Maps. J. Comput. 15 (1) (2020)
Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Michail Matthaiou, Hien Quoc Ngo
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Tuyen Pham Le, Ngo Anh Vien, P. Marlith Jaramillo, TaeChoong Chung
Importance sampling policy gradient algorithms in reproducing kernel Hilbert space. Artif. Intell. Rev. 52 (3) (2019)
Viet-Hung Dang, Ngo Anh Vien, TaeChoong Chung
A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space. Genet. Program. Evolvable Mach. 20 (4) (2019)
Khoi Khac Nguyen, Trung Q. Duong, Ngo Anh Vien, Nhien-An Le-Khac, Long Dinh Nguyen
Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications. IEEE Access 7 (2019)
Thien Van Luong, Youngwook Ko, Ngo Anh Vien, Duy H. N. Nguyen, Michail Matthaiou
Deep Learning-Based Detector for OFDM-IM. IEEE Wirel. Commun. Lett. 8 (4) (2019)
Khoi Khac Nguyen, Trung Quang Duong, Ngo Anh Vien, Nhien-An Le-Khac, Minh-Nghia Nguyen
Non-Cooperative Energy Efficient Power Allocation Game in D2D Communication: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Access 7 (2019)
Tuyen Pham Le, Ngo Anh Vien, TaeChoong Chung
A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. IEEE Access 6 (2018)
Minh-Nghia Nguyen, Ngo Anh Vien
Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features. ECML/PKDD (1) (2018)
Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint
Bayesian Functional Optimization. AAAI (2018)
Le Pham Tuyen, Ngo Anh Vien, Md. Abu Layek, TaeChoong Chung
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. CoRR (2018)
Minh-Nghia Nguyen, Ngo Anh Vien
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features. CoRR (2018)
Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space. ACML (2017)
Peter Englert, Ngo Anh Vien, Marc Toussaint
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. Int. J. Robotics Res. 36 (13-14) (2017)
Viet-Hung Dang, Ngo Anh Vien, Pham Le-Tuyen, TaeChoong Chung
A Functional Optimization Method for Continuous Domains. INISCOM (2017)
Le Pham Tuyen, Md. Abu Layek, Ngo Anh Vien, TaeChoong Chung
Deep reinforcement learning algorithms for steering an underactuated ship. MFI (2017)
Ngo Anh Vien, Peter Englert, Marc Toussaint
Policy Search in Reproducing Kernel Hilbert Space. IJCAI (2016)
Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung
Bayes-adaptive hierarchical MDPs. Appl. Intell. 45 (1) (2016)
Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes
Relational activity processes for modeling concurrent cooperation. ICRA (2016)
Ngo Anh Vien, Marc Toussaint
Touch based POMDP manipulation via sequential submodular optimization. Humanoids (2015)
Ngo Anh Vien, Marc Toussaint
POMDP manipulation via trajectory optimization. IROS (2015)
Ngo Anh Vien, Marc Toussaint
Hierarchical Monte-Carlo Planning. AAAI (2015)
Ngo Anh Vien, Marc Toussaint
Model-Based Relational RL When Object Existence is Partially Observable. ICML (2014)
Ngo Anh Vien, Hung Quoc Ngo, Sungyoung Lee, TaeChoong Chung
Approximate planning for bayesian hierarchical reinforcement learning. Appl. Intell. 41 (3) (2014)
Ngo Anh Vien, Hung Quoc Ngo, Wolfgang Ertel
Monte carlo bayesian hierarchical reinforcement learning. AAMAS (2014)
Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien
Efficient Interactive Multiclass Learning from Binary Feedback. ACM Trans. Interact. Intell. Syst. 4 (3) (2014)
Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jürgen Schmidhuber
Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. IJCAI (2013)
Ngo Anh Vien, Marc Toussaint
Reasoning with Uncertainties Over Existence of Objects. AAAI Fall Symposia (2013)
Ngo Anh Vien, Wolfgang Ertel, TaeChoong Chung
Learning via human feedback in continuous state and action spaces. Appl. Intell. 39 (2) (2013)
Ngo Anh Vien, Wolfgang Ertel, Viet-Hung Dang, TaeChoong Chung
Monte-Carlo tree search for Bayesian reinforcement learning. Appl. Intell. 39 (2) (2013)
Ngo Anh Vien, Wolfgang Ertel
Monte Carlo Tree Search for Bayesian Reinforcement Learning. ICMLA (1) (2012)
Ngo Anh Vien, Wolfgang Ertel
Reinforcement learning combined with human feedback in continuous state and action spaces. ICDL-EPIROB (2012)
Ngo Anh Vien, Wolfgang Ertel
Learning via Human Feedback in Continuous State and Action Spaces. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers (2012)
Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, Ngo Anh Vien
Nomogram Visualization for Ranking Support Vector Machine. ISNN (2) (2011)
Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung
Hessian matrix distribution for Bayesian policy gradient reinforcement learning. Inf. Sci. 181 (9) (2011)
Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien
Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR (2010)
Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung
Policy Gradient Based Semi-Markov Decision Problems: Approximation and Estimation Errors. IEICE Trans. Inf. Syst. (2) (2010)
Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung
Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. IEICE Trans. Commun. (6) (2009)
Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM (2009)
Nguyen Thi Thanh Thuy, Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung
Probabilistic Ranking Support Vector Machine. ISNN (2) (2009)
Ngo Anh Vien, TaeChoong Chung
Policy Gradient Semi-markov Decision Process. ICTAI (2) (2008)
Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung
Efficient Distributed Sensor Dispatch in Mobile Sensor Network. AINA Workshops (2008)
Nguyen Hoang Viet, Ngo Anh Vien, TaeChoong Chung
Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. ICNSC (2008)
Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung
Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm. ACHI (2008)
Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung
Heuristic Search Based Exploration in Reinforcement Learning. IWANN (2007)
Ngo Anh Vien, TaeChoong Chung
Natural Gradient Policy for Average Cost SMDP Problem. ICTAI (1) (2007)
Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung
Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm. ISNN (1) (2007)