Natural Gradient Policy for Average Cost SMDP Problem. - Ngo Anh Vien; TaeChoong Chung (ICTAI (1), 2007)

Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm. - Ngo Anh Vien; Nguyen Hoang Viet; SeungGwan Lee; TaeChoong Chung (ISNN (1), 2007)

Heuristic Search Based Exploration in Reinforcement Learning. - Ngo Anh Vien; Nguyen Hoang Viet; SeungGwan Lee; TaeChoong Chung (IWANN, 2007)

Obstacle Avoidance Path Planning for Mobile Robot Based on Multi Colony Ant Algorithm. - Nguyen Hoang Viet; Ngo Anh Vien; SeungGwan Lee; TaeChoong Chung (ACHI, 2008)

Efficient Distributed Sensor Dispatch in Mobile Sensor Network. - Nguyen Hoang Viet; Ngo Anh Vien; SeungGwan Lee; TaeChoong Chung (AINA Workshops, 2008)

Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. - Nguyen Hoang Viet; Ngo Anh Vien; TaeChoong Chung (ICNSC, 2008)

Policy Gradient Semi-markov Decision Process. - Ngo Anh Vien; TaeChoong Chung (ICTAI (2), 2008)

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 (CIKM, 2009)

Probabilistic Ranking Support Vector Machine. - Nguyen Thi Thanh Thuy; Ngo Anh Vien; Nguyen Hoang Viet; TaeChoong Chung (ISNN (2), 2009)

Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks. - Ngo Anh Vien; Nguyen Hoang Viet; SeungGwan Lee; TaeChoong Chung (IEICE Trans. Commun., 2009)

Monte Carlo Value Iteration for Continuous-State POMDPs. - Haoyu Bai; David Hsu; Wee Sun Lee; Ngo Anh Vien (WAFR, 2010)

Policy Gradient Based Semi-Markov Decision Problems: Approximation and Estimation Errors. - Ngo Anh Vien; SeungGwan Lee; TaeChoong Chung (IEICE Trans. Inf. Syst., 2010)

Nomogram Visualization for Ranking Support Vector Machine. - Nguyen Thi Thanh Thuy; Nguyen Thi Ngoc Vinh; Ngo Anh Vien (ISNN (2), 2011)

Hessian matrix distribution for Bayesian policy gradient reinforcement learning. - Ngo Anh Vien; Hwanjo Yu; TaeChoong Chung (Inf. Sci., 2011)

Learning via Human Feedback in Continuous State and Action Spaces. - Ngo Anh Vien; Wolfgang Ertel (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Reinforcement learning combined with human feedback in continuous state and action spaces. - Ngo Anh Vien; Wolfgang Ertel (ICDL-EPIROB, 2012)

Monte Carlo Tree Search for Bayesian Reinforcement Learning. - Ngo Anh Vien; Wolfgang Ertel (ICMLA (1), 2012)

Reasoning with Uncertainties Over Existence of Objects. - Ngo Anh Vien; Marc Toussaint (AAAI Fall Symposia, 2013)

Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. - Hung Quoc Ngo 001; Matthew David Luciw; Ngo Anh Vien; Jürgen Schmidhuber (IJCAI, 2013)

Learning via human feedback in continuous state and action spaces. - Ngo Anh Vien; Wolfgang Ertel; TaeChoong Chung (Appl. Intell., 2013)

Monte-Carlo tree search for Bayesian reinforcement learning. - Ngo Anh Vien; Wolfgang Ertel; Viet-Hung Dang; TaeChoong Chung (Appl. Intell., 2013)

Monte carlo bayesian hierarchical reinforcement learning. - Ngo Anh Vien; Hung Quoc Ngo 001; Wolfgang Ertel (AAMAS, 2014)

Model-Based Relational RL When Object Existence is Partially Observable. - Ngo Anh Vien; Marc Toussaint (ICML, 2014)

Approximate planning for bayesian hierarchical reinforcement learning. - Ngo Anh Vien; Hung Quoc Ngo 001; Sungyoung Lee 001; TaeChoong Chung (Appl. Intell., 2014)

Efficient Interactive Multiclass Learning from Binary Feedback. - Hung Quoc Ngo 001; Matthew D. Luciw; Jawad Nagi; Alexander Förster; Jürgen Schmidhuber; Ngo Anh Vien (ACM Trans. Interact. Intell. Syst., 2014)

Hierarchical Monte-Carlo Planning. - Ngo Anh Vien; Marc Toussaint (AAAI, 2015)

Touch based POMDP manipulation via sequential submodular optimization. - Ngo Anh Vien; Marc Toussaint (Humanoids, 2015)

POMDP manipulation via trajectory optimization. - Ngo Anh Vien; Marc Toussaint (IROS, 2015)

Relational activity processes for modeling concurrent cooperation. - Marc Toussaint; Thibaut Munzer; Yoan Mollard; Li Yang Wu; Ngo Anh Vien; Manuel Lopes 001 (ICRA, 2016)

Policy Search in Reproducing Kernel Hilbert Space. - Ngo Anh Vien; Peter Englert; Marc Toussaint (IJCAI, 2016)

Bayes-adaptive hierarchical MDPs. - Ngo Anh Vien; SeungGwan Lee; TaeChoong Chung (Appl. Intell., 2016)

A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space. - Ngo Anh Vien; Viet-Hung Dang; TaeChoong Chung (ACML, 2017)

A Functional Optimization Method for Continuous Domains. - Viet-Hung Dang; Ngo Anh Vien; Pham Le-Tuyen 001; TaeChoong Chung (INISCOM, 2017)

Deep reinforcement learning algorithms for steering an underactuated ship. - Le Pham Tuyen 001; Md. Abu Layek; Ngo Anh Vien; TaeChoong Chung (MFI, 2017)

Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. - Peter Englert; Ngo Anh Vien; Marc Toussaint (Int. J. Robotics Res., 2017)

Bayesian Functional Optimization. - Ngo Anh Vien; Heiko Zimmermann; Marc Toussaint (AAAI, 2018)

Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features. - Minh-Nghia Nguyen; Ngo Anh Vien (ECML/PKDD (1), 2018)

A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. - Tuyen Pham Le 001; Ngo Anh Vien; TaeChoong Chung (IEEE Access, 2018)

Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes. - Le Pham Tuyen 001; Ngo Anh Vien; Md. Abu Layek; TaeChoong Chung (CoRR, 2018)

Non-Cooperative Energy Efficient Power Allocation Game in D2D Communication: A Multi-Agent Deep Reinforcement Learning Approach. - Khoi Khac Nguyen; Trung Quang Duong; Ngo Anh Vien; Nhien-An Le-Khac; Minh-Nghia Nguyen (IEEE Access, 2019)

Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications. - Khoi Khac Nguyen; Trung Q. Duong; Ngo Anh Vien; Nhien-An Le-Khac; Long Dinh Nguyen (IEEE Access, 2019)

Importance sampling policy gradient algorithms in reproducing kernel Hilbert space. - Tuyen Pham Le 001; Ngo Anh Vien; P. Marlith Jaramillo; TaeChoong Chung (Artif. Intell. Rev., 2019)

A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space. - Viet-Hung Dang; Ngo Anh Vien; TaeChoong Chung (Genet. Program. Evolvable Mach., 2019)

Deep Learning-Based Detector for OFDM-IM. - Thien Van Luong; Youngwook Ko; Ngo Anh Vien; Duy H. N. Nguyen; Michail Matthaiou (IEEE Wirel. Commun. Lett., 2019)

Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation. - Abdullahi Abubakar; Sakil Barbhuiya; Peter Kilpatrick; Ngo Anh Vien; Dimitrios S. Nikolopoulos (CLOSER, 2020)

Graph-Based Motion Planning Networks. - Tai Hoang; Ngo Anh Vien (ECML/PKDD (2), 2020)

Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process. - Dang Quang Nguyen; Ngo Anh Vien; Viet-Hung Dang; TaeChoong Chung (Appl. Intell., 2020)

Bayes-Adaptive Deep Model-Based Policy Optimisation. - Tai Hoang; Ngo Anh Vien (CoRR, 2020)

Improving Path Planning Methods in 2D Grid Maps. - Viet-Hung Dang; Hoang Huu Viet; Nguyen Duc Thang; Ngo Anh Vien; Le Anh Tuan 002 (J. Comput., 2020)

Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems. - Thien Van Luong; Youngwook Ko; Ngo Anh Vien; Michail Matthaiou; Hien Quoc Ngo (IEEE Trans. Wirel. Commun., 2020)

Differentiable Trust Region Layers for Deep Reinforcement Learning. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Hanna Carolin Maria Ziesche; Gerhard Neumann (ICLR, 2021)

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. - Alireza Ranjbar; Ngo Anh Vien; Hanna Ziesche; Joschka Boedecker; Gerhard Neumann (IROS, 2021)

Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction. - Dianhao Zhang; Ngo Anh Vien; Mien Van; Seán F. McLoone (IROS, 2021)

Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning. - Khoi Khac Nguyen; Ngo Anh Vien; Long Dinh Nguyen; Minh-Tuan Le; Lajos Hanzo; Trung Q. Duong (IEEE Access, 2021)

Constrained representation learning for recurrent policy optimisation under uncertainty. - Viet-Hung Dang; Ngo Anh Vien; TaeChoong Chung (Adapt. Behav., 2021)

Differentiable Robust LQR Layers. - Ngo Anh Vien; Gerhard Neumann (CoRR, 2021)

Deep Learning-Aided Multicarrier Systems. - Thien Van Luong; Youngwook Ko; Michail Matthaiou; Ngo Anh Vien; Minh-Tuan Le; Vu-Duc Ngo (IEEE Trans. Wirel. Commun., 2021)

Deep Black-Box Reinforcement Learning with Movement Primitives. - Fabian Otto; Onur Celik; Hongyi Zhou; Hanna Ziesche; Ngo Anh Vien; Gerhard Neumann (CoRL, 2022)

What Matters For Meta-Learning Vision Regression Tasks? - Ning Gao; Hanna Ziesche; Ngo Anh Vien; Michael Volpp; Gerhard Neumann (CVPR, 2022)

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion. - Fabian Duffhauss; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (ECCV (39), 2022)

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. - Zohar Feldman; Hanna Ziesche; Ngo Anh Vien; Dotan Di Castro (ICRA, 2022)

Hierarchical Policy Learning for Mechanical Search. - Oussama Zenkri; Ngo Anh Vien; Gerhard Neumann (ICRA, 2022)

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects. - Ruijie Chen; Ning Gao; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (CoRR, 2022)

Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach. - Ilyes Toumi; Andreas Orthey; Alexander von Rohr; Ngo Anh Vien (CoRR, 2022)

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects. - Ning Gao; Ngo Anh Vien; Hanna Ziesche; Gerhard Neumann (CoRL, 2023)

Model-Free Grasping with Multi-Suction Cup Grippers for Robotic Bin Picking. - Philipp Schillinger; Miroslav Gabriel; Alexander Kuss; Hanna Ziesche; Ngo Anh Vien (IROS, 2023)

DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes. - Philipp Blättner; Johannes Brand; Gerhard Neumann; Ngo Anh Vien (CoRR, 2023)

Uncertainty-driven Exploration Strategies for Online Grasp Learning. - Yitian Shi; Philipp Schillinger; Miroslav Gabriel; Alexander Kuss; Zohar Feldman; Hanna Ziesche; Ngo Anh Vien (CoRR, 2023)

SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation. - Fabian Duffhauss; Sebastian Koch; Hanna Ziesche; Ngo Anh Vien; Gerhard Neumann (IEEE Robotics Autom. Lett., 2023)

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 (ICRA, 2024)

Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking. - Yushi Liu; Alexander Qualmann; Zehao Yu 002; Miroslav Gabriel; Philipp Schillinger; Markus Spies; Ngo Anh Vien; Andreas Geiger 001 (ICRA, 2024)

Uncertainty-driven Exploration Strategies for Online Grasp Learning. - Yitian Shi; Philipp Schillinger; Miroslav Gabriel; Alexander Qualmann; Zohar Feldman; Hanna Ziesche; Ngo Anh Vien (ICRA, 2024)

Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Gerhard Neumann (CoRR, 2024)

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. - Tai Hoang; Huy Le; Philipp Becker; Ngo Anh Vien; Gerhard Neumann (ICLR, 2025)

Efficient Off-Policy Learning for High-Dimensional Action Spaces. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Gerhard Neumann (ICLR, 2025)

Diffusion for Multi-Embodiment Grasping. - Roman Freiberg; Alexander Qualmann; Ngo Anh Vien; Gerhard Neumann (IEEE Robotics Autom. Lett., 2025)

TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. - Khang Nguyen 003; Khai Nguyen; An T. Le 001; Jan Peters 001; Manfred Huber; Ngo Anh Vien; Minh Nhat Vu (CoRR, 2025)

Enhancing Exploration With Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation. - Huy Le; Tai Hoang; Miroslav Gabriel; Gerhard Neumann; Ngo Anh Vien (IEEE Robotics Autom. Lett., 2025)