| 2025 | ICLR | Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. | Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann |
| 2025 | ICLR | Efficient Off-Policy Learning for High-Dimensional Action Spaces. | Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann |
| 2024 | ICRA | Pseudo Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking. | Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien |
| 2024 | ICRA | Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. | Yushi Liu, Alexander Qualmann, Zehao Yu, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Ngo Anh Vien, Andreas Geiger |
| 2024 | ICRA | Uncertainty-driven Exploration Strategies for Online Grasp Learning. | Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Zohar Feldman, Hanna Ziesche, Ngo Anh Vien |
| 2023 | CoRL | SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. | Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann |
| 2023 | IROS | Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. | Philipp Schillinger, Miroslav Gabriel, Alexander Kuss, Hanna Ziesche, Ngo Anh Vien |
| 2022 | CoRL | Deep Black-Box Reinforcement Learning with Movement Primitives. | Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann |
| 2022 | CVPR | What Matters For Meta-Learning Vision Regression Tasks? | Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann |
| 2022 | ECCV | FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. | Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann |
| 2022 | ICRA | A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. | Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro |
| 2022 | ICRA | Hierarchical Policy Learning for Mechanical Search. | Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann |
| 2021 | ICLR | Differentiable Trust Region Layers for Deep Reinforcement Learning. | Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann |
| 2021 | IROS | Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. | Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann |
| 2021 | IROS | Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. | Dianhao Zhang, Ngo Anh Vien, Mien Van, Sen F. McLoone |
| 2020 | CLOSER | Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation. | Abdullahi Abubakar, Sakil Barbhuiya, Peter Kilpatrick, Ngo Anh Vien, Dimitrios S. Nikolopoulos |
| 2018 | AAAI | Bayesian Functional Optimization. | Ngo Anh Vien, Heiko Zimmermann, Marc Toussaint |
| 2017 | ACML | A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space. | Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung |
| 2016 | IJCAI | Policy Search in Reproducing Kernel Hilbert Space. | Ngo Anh Vien, Peter Englert, Marc Toussaint |
| 2016 | ICRA | Relational activity processes for modeling concurrent cooperation. | Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes |
| 2015 | AAAI | Hierarchical Monte-Carlo Planning. | Ngo Anh Vien, Marc Toussaint |
| 2015 | IROS | POMDP manipulation via trajectory optimization. | Ngo Anh Vien, Marc Toussaint |
| 2014 | ICML | Model-Based Relational RL When Object Existence is Partially Observable. | Ngo Anh Vien, Marc Toussaint |
| 2013 | IJCAI | Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. | Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jrgen Schmidhuber |
| 2012 | ICMLA | Monte Carlo Tree Search for Bayesian Reinforcement Learning. | Ngo Anh Vien, Wolfgang Ertel |
| 2011 | ISNN | Nomogram Visualization for Ranking Support Vector Machine. | Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, Ngo Anh Vien |
| 2010 | WAFR | Monte Carlo Value Iteration for Continuous-State POMDPs. | Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien |
| 2009 | CIKM | VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. | Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho |
| 2009 | ISNN | Probabilistic Ranking Support Vector Machine. | Nguyen Thi Thanh Thuy, Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung |
| 2008 | ACHI | Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm. | Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung |
| 2008 | AINA | Efficient Distributed Sensor Dispatch in Mobile Sensor Network. | Nguyen Hoang Viet, Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung |
| 2008 | ICTAI | Policy Gradient Semi-markov Decision Process. | Ngo Anh Vien, TaeChoong Chung |
| 2007 | ICTAI | Natural Gradient Policy for Average Cost SMDP Problem. | Ngo Anh Vien, TaeChoong Chung |
| 2007 | ISNN | Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm. | Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung |
| 2007 | IWANN | Heuristic Search Based Exploration in Reinforcement Learning. | Ngo Anh Vien, Nguyen Hoang Viet, SeungGwan Lee, TaeChoong Chung |