Ngo Anh Vien

TaeChoong Chung, Le Pham Tuyen, Ngo Anh Vien, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Monte-Carlo tree search for Bayesian reinforcement learning

Viet-Hung Dang, TaeChoong Chung, Wolfgang Ertel, 2012, 2012 11th International Conference on Machine Learning and Applications.

Policy Gradient Semi-markov Decision Process

TaeChoong Chung, Ngo Anh Vien, TaeChoong Chung, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Method for Mobile Robots

Nguyen Hoang Viet, TaeChoong Chung, SeungGwan Lee, 2007 .

Monte Carlo Value Iteration for Continuous-State POMDPs

David Hsu, Wee Sun Lee, Ngo Anh Vien, 2010, WAFR.

Improving Path Planning Methods in 2D Grid Maps

Hoang Huu Viet, Viet-Hung Dang, Le Anh Tuan, 2020, J. Comput..

Probabilistic Ranking Support Vector Machine

Nguyen Hoang Viet, TaeChoong Chung, Ngo Anh Vien, 2009, ISNN.

POMDP manipulation via trajectory optimization

Marc Toussaint, Ngo Anh Vien, Marc Toussaint, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Natural Gradient Policy for Average Cost SMDP Problem

TaeChoong Chung, Ngo Anh Vien, TaeChoong Chung, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features pdf

Minh-Nghia Nguyen, Ngo Anh Vien, Minh-Nghia Nguyen, 2018, ECML/PKDD.

Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications

Long D. Nguyen, Trung Q. Duong, Nhien-An Le-Khac, 2019, IEEE Access.

Reasoning with Uncertainties Over Existence of Objects

Marc Toussaint, Ngo Anh Vien, 2013, AAAI Fall Symposia.

A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

Ngo Anh Vien, Tuyen P. Le, Taechoong Chung, 2018, IEEE Access.

Q-Learning based Univector Field Navigation Method for Mobile Robots

Nguyen Hoang Viet, TaeChoong Chung, SeungGwan Lee, 2007 .

Relational activity processes for modeling concurrent cooperation

Manuel Lopes, Marc Toussaint, Ngo Anh Vien, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Constrained representation learning for recurrent policy optimisation under uncertainty

TaeChoong Chung, Ngo Anh Vien, Viet Hung Dang, 2019, Adapt. Behav..

Bayesian Functional Optimization

Marc Toussaint, Heiko Zimmermann, Ngo Anh Vien, 2018, AAAI.

Importance sampling policy gradient algorithms in reproducing kernel Hilbert space

TaeChoong Chung, Ngo Anh Vien, Tuyen Pham Le, 2019, Artificial Intelligence Review.

Non-Cooperative Energy Efficient Power Allocation Game in D2D Communication: A Multi-Agent Deep Reinforcement Learning Approach

Minh-Nghia Nguyen, Trung Q. Duong, Nhien-An Le-Khac, 2019, IEEE Access.

Touch based POMDP manipulation via sequential submodular optimization

Ngo Anh Vien, Marc Toussaint, Marc Toussaint, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Reinforcement learning combined with human feedback in continuous state and action spaces

Wolfgang Ertel, Ngo Anh Vien, W. Ertel, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks

Nguyen Hoang Viet, TaeChoong Chung, SeungGwan Lee, 2009 .

Learning via human feedback in continuous state and action spaces

TaeChoong Chung, Ngo Anh Vien, Wolfgang Ertel, 2013, Applied Intelligence.

A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space

Viet-Hung Dang, TaeChoong Chung, Ngo Anh Vien, 2017, ACML.

Efficient Distributed Sensor Dispatch in Mobile Sensor Network

Nguyen Hoang Viet, TaeChoong Chung, SeungGwan Lee, 2008, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008).

Bayes-adaptive hierarchical MDPs

TaeChoong Chung, SeungGwan Lee, Ngo Anh Vien, 2015, Applied Intelligence.

Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks

Nguyen Hoang Viet, TaeChoong Chung, Ngo Anh Vien, 2008, 2008 IEEE International Conference on Networking, Sensing and Control.

Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations

Peter Englert, Marc Toussaint, Ngo Anh Vien, 2017, ISRR.

Nomogram Visualization for Ranking Support Vector Machine

Ngo Anh Vien, Nguyen Thi Thanh Thuy, Nguyen Thi Ngoc Vinh, 2011, ISNN.

Heuristic Search Based Exploration in Reinforcement Learning

Nguyen Hoang Viet, TaeChoong Chung, SeungGwan Lee, 2007, IWANN.

Real-Time Energy Harvesting Aided Scheduling in UAV-Assisted D2D Networks Relying on Deep Reinforcement Learning

Long D. Nguyen, Trung Q. Duong, Lajos Hanzo, 2021, IEEE Access.

Approximate planning for bayesian hierarchical reinforcement learning

Sungyoung Lee, TaeChoong Chung, Ngo Anh Vien, 2014, Applied Intelligence.

Model-Based Relational RL When Object Existence is Partially Observable

Marc Toussaint, Ngo Anh Vien, Marc Toussaint, 2014, ICML.

Differentiable Trust Region Layers for Deep Reinforcement Learning

Ngo Anh Vien, Philipp Becker, Fabian Otto, 2021, ICLR.

Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction

Mien Van, Sean McLoone, Ngo Anh Vien, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Differentiable Robust LQR Layers pdf

Gerhard Neumann, Ngo Anh Vien, G. Neumann, 2021, ArXiv.

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives pdf

Zohar Feldman, Dotan Di Castro, Ngo Anh Vien, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty

Gerhard Neumann, Joschka Boedecker, Ngo Anh Vien, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Differentiable Trust Region Layers for Deep Reinforcement Learning pdf

Gerhard Neumann, Ngo Anh Vien, Fabian Otto, 2021, ICLR.

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels

Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, 2009, CIKM.

Multiobjective Fitness Functions for Stable Marriage Problem using Genetic Algrithm

Ngo Anh Vien, Tae Choong Chung, 2006, 2006 SICE-ICASE International Joint Conference.

APPLICATION OF SUPPORT VECTOR MACHINE TO THE PREDICTION OF GEO-EFFECTIVE HALO CMES

Yong-Jae Moon, Ngo Anh Vien, Seonghwan Choi, 2012 .

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2022, ArXiv.

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2022, ECCV.

Deep Black-Box Reinforcement Learning with Movement Primitives

Ngo Anh Vien, G. Neumann, Onur Çelik, 2022, CoRL.

Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach

Ngo Anh Vien, Alexander von Rohr, A. Orthey, 2022, ArXiv.

Learning via human feedback in continuous state and action spaces

Ngo Anh Vien, W. Ertel, TaeChoong Chung, 2013, Applied intelligence (Boston).

Hierarchical Policy Learning for Mechanical Search

Ngo Anh Vien, G. Neumann, Oussama Zenkri, 2022, 2022 International Conference on Robotics and Automation (ICRA).

What Matters For Meta-Learning Vision Regression Tasks?

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bayes-adaptive hierarchical MDPs

Ngo Anh Vien, SeungGwan Lee, TaeChoong Chung, 2016, Applied Intelligence.

Approximate planning for bayesian hierarchical reinforcement learning

Ngo Anh Vien, Sungyoung Lee, H. Ngo, 2014, Applied Intelligence.

Monte-Carlo tree search for Bayesian reinforcement learning

Ngo Anh Vien, W. Ertel, V. Dang, 2013, International Conference on Machine Learning and Applications.

Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems

Ngo Anh Vien, M. Matthaiou, H. Ngo, 2020, IEEE Transactions on Wireless Communications.

Bayes-Adaptive Deep Model-Based Policy Optimisation

Ngo Anh Vien, Tai Hoang, 2020, ArXiv.

DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes

Ngo Anh Vien, G. Neumann, Johannes Brand, 2023, ArXiv.

SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2023, IEEE Robotics and Automation Letters.

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2023, CoRL.

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects

Ngo Anh Vien, G. Neumann, Hanna Ziesche, 2022, ArXiv.