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Nat Dilokthanakul
Nat Dilokthanakul
Faculty of Information Technology, KMITL
Adresse e-mail validée de kmitl.ac.th - Page d'accueil
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Deep unsupervised clustering with gaussian mixture variational autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
7552016
MIN2Net: End-to-end multi-task learning for subject-independent motor imagery EEG classification
P Autthasan, R Chaisaen, T Sudhawiyangkul, P Rangpong, ...
IEEE Transactions on Biomedical Engineering 69 (6), 2105-2118, 2021
1232021
Feature control as intrinsic motivation for hierarchical reinforcement learning
N Dilokthanakul, C Kaplanis, N Pawlowski, M Shanahan
IEEE transactions on neural networks and learning systems 30 (11), 3409-3418, 2019
1122019
MetaSleepLearner: A pilot study on fast adaptation of bio-signals-based sleep stage classifier to new individual subject using meta-learning
N Banluesombatkul, P Ouppaphan, P Leelaarporn, P Lakhan, ...
IEEE Journal of Biomedical and Health Informatics 25 (6), 1949-1963, 2020
1112020
Visual Goal Human-Robot Communication Framework with Few-Shot Learning: a Case Study in Robot Waiter System
G Sawadwuthikul, T Tothong, T Lodkaew, P Soisudarat, S Nutanong, ...
IEEE Transactions on Industrial Informatics, 2021
362021
Classifying options for deep reinforcement learning
K Arulkumaran, N Dilokthanakul, M Shanahan, AA Bharath
IJCAI Workshop on Deep Reinforcement Learning: Frontiers and Challenges, 2016
342016
Generating Diverse Cooperative Agents by Learning Incompatible Policies
R Charakorn, P Manoonpong, N Dilokthanakul
International Conference on Learning Representations, 2023
272023
Investigating partner diversification methods in cooperative multi-agent deep reinforcement learning
R Charakorn, P Manoonpong, N Dilokthanakul
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
202020
An explicit local and global representation disentanglement framework with applications in deep clustering and unsupervised object detection
R Charakorn, Y Thawornwattana, S Itthipuripat, N Pawlowski, ...
arXiv preprint arXiv:2001.08957, 2020
162020
Deep Reinforcement Learning with Risk-Seeking Exploration
N Dilokthanakul, M Shanahan
The 15th International Conference on the Simulation of Adaptive Behavior …, 2018
132018
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot
Y Zhang, M Thor, N Dilokthanakul, Z Dai, P Manoonpong
Neural Networks 167, 292-308, 2023
72023
Learning to cooperate with unseen agents through meta-reinforcement learning
R Charakorn, P Manoonpong, N Dilokthanakul
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
72021
GRAB: GRAdient-Based Shape-Adaptive Locomotion Control
S Phodapol, T Chuthong, B Leung, A Srisuchinnawong, P Manoonpong, ...
IEEE Robotics and Automation Letters, 2021
32021
Towards better data efficiency in deep reinforcement learning.
N Dilokthanakul
Imperial College London, UK, 2018
32018
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result
M Piriyajitakonkij, S Itthipuripat, T Wilaiprasitporn, N Dilokthanakul
arXiv preprint arXiv:2106.10112, 2021
22021
Advanced Collaborative Robots for the Factory of the Future
K Rothomphiwat, A Harnkhamen, T Tothong, T Suthisomboon, ...
2021 IEEE/SICE International Symposium on System Integration (SII), 578-579, 2021
22021
Dynamical state forcing on central pattern generators for efficient robot locomotion control
T Chuthong, B Leung, K Tiraborisute, P Ngamkajornwiwat, ...
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
22020
Walking robot
S Pewkliang, P Manoonpong, T Chuthong, N Dilokthanakul, ...
US Patent App. 18/575,763, 2024
2024
Impact of Rhythm, Tempo, and Rest Variations on Pitch Detection in Deep Learning-Based Piano Transcription Models
P Pangwapee, J Mekkoktanphira, N Dilokthanakul, S Lochanachit, ...
2024 16th International Conference on Information Technology and Electrical …, 2024
2024
A framework for visual-based adaptive object-robot interaction of a mobile service robot
P Soisudarat, T Tothong, K Tiraborisute, N Dilokthanakul, P Manoonpong
Adaptive Behavior, 10597123241242491, 2024
2024
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