| Deep unsupervised clustering with gaussian mixture variational autoencoders N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ... arXiv preprint arXiv:1611.02648, 2016 | 708 | 2016 |
| 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 | 106 | 2019 |
| 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 | 103 | 2021 |
| 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 | 101 | 2020 |
| 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 | 32 | 2021 |
| Classifying options for deep reinforcement learning K Arulkumaran, N Dilokthanakul, M Shanahan, AA Bharath IJCAI Workshop on Deep Reinforcement Learning: Frontiers and Challenges, 2016 | 32 | 2016 |
| Generating Diverse Cooperative Agents by Learning Incompatible Policies R Charakorn, P Manoonpong, N Dilokthanakul International Conference on Learning Representations, 2023 | 20 | 2023 |
| 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 | 17 | 2020 |
| 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 | 16 | 2020 |
| Deep Reinforcement Learning with Risk-Seeking Exploration N Dilokthanakul, M Shanahan The 15th International Conference on the Simulation of Adaptive Behavior …, 2018 | 13 | 2018 |
| 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 | 7 | 2021 |
| 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 | 6 | 2023 |
| Towards better data efficiency in deep reinforcement learning. N Dilokthanakul Imperial College London, UK, 2018 | 3 | 2018 |
| GRAB: GRAdient-Based Shape-Adaptive Locomotion Control S Phodapol, T Chuthong, B Leung, A Srisuchinnawong, P Manoonpong, ... IEEE Robotics and Automation Letters, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| 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 | 1 | 2021 |
| 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 |
| Energy-Efficient Continual Learning for Autonomous Driving QD Ng, CK Loo, K Pasupa, N Dilokthanakul, J Zhang 2023 15th International Conference on Information Technology and Electrical …, 2023 | | 2023 |
| Semantic Bird’s-Eye-View Map Prediction Using Horizontally-Aware Pyramid Occupancy Network T Teerarattanyu, T Wongchai, P Pavarangkoon, N Dilokthanakul 2023 15th International Conference on Information Technology and Electrical …, 2023 | | 2023 |
Murray ShanahanImperial College London / DeepMindVerified email at imperial.ac.uk
