Monte Carlo value iteration for continuous-state POMDPs H Bai, D Hsu, W Lee, V Ngo Algorithmic Foundations of Robotics IX, 175-191, 2011 | 134 | 2011 |
Inverse KKT: Learning cost functions of manipulation tasks from demonstrations P Englert, NA Vien, M Toussaint The International Journal of Robotics Research 36 (13-14), 1474-1488, 2017 | 130 | 2017 |
Deep learning-based detector for OFDM-IM T Van Luong, Y Ko, NA Vien, DHN Nguyen, M Matthaiou IEEE wireless communications letters 8 (4), 1159-1162, 2019 | 105 | 2019 |
Non-cooperative energy efficient power allocation game in D2D communication: A multi-agent deep reinforcement learning approach KK Nguyen, TQ Duong, NA Vien, NA Le-Khac, MN Nguyen IEEE Access 7, 100480-100490, 2019 | 81 | 2019 |
A deep hierarchical reinforcement learning algorithm in partially observable Markov decision processes TP Le, NA Vien, TC Chung Ieee Access 6, 49089-49102, 2018 | 73 | 2018 |
Distributed deep deterministic policy gradient for power allocation control in D2D-based V2V communications KK Nguyen, TQ Duong, NA Vien, NA Le-Khac, LD Nguyen IEEE Access 7, 164533-164543, 2019 | 60 | 2019 |
Hierarchical Monte-Carlo Planning NA Vien, M Toussaint Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 59 | 2015 |
Real-time energy harvesting aided scheduling in UAV-assisted D2D networks relying on deep reinforcement learning KK Nguyen, NA Vien, LD Nguyen, MT Le, L Hanzo, TQ Duong IEEE Access 9, 3638-3648, 2020 | 45 | 2020 |
Learning via human feedback in continuous state and action spaces NA Vien, W Ertel 2012 AAAI Fall Symposium Series, Robots Learning Interactively from Human …, 2012 | 44 | 2012 |
Monte Carlo Tree Search for Bayesian Reinforcement Learning NA Vien, W Ertel, VH Dang, TC Chung Applied Intelligence 39 (2), 345-353, 2013 | 39 | 2013 |
Relational Activity Processes for Modeling Concurrent Cooperation M Toussaint, T Munzer, Y Mollard, LY Wu, NA Vien, M Lopes Proc. of the IEEE Int. Conf. on Robotics \& Automation (ICRA 2016), 2016 | 38 | 2016 |
Deep energy autoencoder for noncoherent multicarrier MU-SIMO systems T Van Luong, Y Ko, NA Vien, M Matthaiou, HQ Ngo IEEE Transactions on Wireless Communications 19 (6), 3952-3962, 2020 | 33 | 2020 |
Scalable and interpretable one-class svms with deep learning and random fourier features MN Nguyen, NA Vien Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 33 | 2019 |
Obstacle avoidance path planning for mobile robot based on multi colony ant algorithm NH Viet, NA Vien, SG Lee, TC Chung First International Conference on Advances in Computer-Human Interaction …, 2008 | 30 | 2008 |
Differentiable trust region layers for deep reinforcement learning F Otto, P Becker, NA Vien, HC Ziesche, G Neumann arXiv preprint arXiv:2101.09207, 2021 | 29 | 2021 |
Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm N Vien, N Viet, SG Lee, TC Chung Advances in Neural Networks–ISNN 2007, 704-713, 2007 | 29 | 2007 |
What matters for meta-learning vision regression tasks? N Gao, H Ziesche, NA Vien, M Volpp, G Neumann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
Deep reinforcement learning algorithms for steering an underactuated ship A Layek, NA Vien, TC Chung 2017 IEEE International Conference on Multisensor Fusion and Integration for …, 2017 | 25 | 2017 |
Reinforcement learning combined with human feedback in continuous state and action spaces NA Vien, W Ertel 2012 IEEE International Conference on Development and Learning and …, 2012 | 24 | 2012 |
Deep learning-aided multicarrier systems T Van Luong, Y Ko, M Matthaiou, NA Vien, MT Le, VD Ngo IEEE Transactions on Wireless Communications 20 (3), 2109-2119, 2020 | 23 | 2020 |