| Human behavior prediction for smart homes using deep learning S Choi, E Kim, S Oh 2013 IEEE RO-MAN, 173-179, 2013 | 55 | 2013 |
| Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling S Choi, K Lee, S Lim, S Oh 2018 IEEE International Conference on Robotics and Automation (ICRA), 6915-6922, 2018 | 38 | 2018 |
| Real-time navigation in crowded dynamic environments using Gaussian process motion control S Choi, E Kim, S Oh 2014 IEEE International Conference on Robotics and Automation (ICRA), 3221-3226, 2014 | 37 | 2014 |
| Robust Learning from Demonstration Using Leveraged Gaussian Processes and Sparse-Constrained Optimization S Choi, K Lee, S Oh 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 | 30 | 2016 |
| Vision-based coordinated localization for mobile sensor networks J Suh, S You, S Choi, S Oh IEEE transactions on automation science and engineering 13 (2), 611-620, 2014 | 27 | 2014 |
| Sparse Markov decision processes with causal sparse Tsallis entropy regularization for reinforcement learning K Lee, S Choi, S Oh IEEE Robotics and Automation Letters 3 (3), 1466-1473, 2018 | 26 | 2018 |
| Distributed gaussian process regression under localization uncertainty S Choi, M Jadaliha, J Choi, S Oh Journal of Dynamic Systems, Measurement, and Control 137 (3), 2015 | 17 | 2015 |
| Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments S Choi, K Lee, S Oh Robotics and Autonomous Systems, 2017 | 12 | 2017 |
| Robust learning from demonstrations with mixed qualities using leveraged gaussian processes S Choi, K Lee, S Oh IEEE Transactions on Robotics 35 (3), 564-576, 2019 | 10 | 2019 |
| Choicenet: Robust learning by revealing output correlations S Choi, S Hong, K Lee, S Lim | 9 | 2018 |
| Inverse Reinforcement Learning with Leveraged Gaussian Processes K Lee, S Choi, S Oh IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016 | 9 | 2016 |
| Leveraged non-stationary Gaussian process regression for autonomous robot navigation S Choi, E Kim, K Lee, S Oh 2015 IEEE International Conference on Robotics and Automation (ICRA), 473-478, 2015 | 9 | 2015 |
| Maximum causal tsallis entropy imitation learning K Lee, S Choi, S Oh Advances in Neural Information Processing Systems, 4403-4413, 2018 | 8 | 2018 |
| Chance-constrained target tracking for mobile robots Y Oh, S Choi, S Oh 2015 IEEE International Conference on Robotics and Automation (ICRA), 409-414, 2015 | 8 | 2015 |
| Songhwai Oh. Tsallis reinforcement learning: A unified framework for maximum entropy reinforcement learning K Lee, S Kim, S Lim, S Choi arXiv preprint arXiv:1902.00137, 2019 | 6 | 2019 |
| Interactive text2pickup networks for natural language-based human–robot collaboration H Ahn, S Choi, N Kim, G Cha, S Oh IEEE Robotics and Automation Letters 3 (4), 3308-3315, 2018 | 6 | 2018 |
| Density matching reward learning S Choi, K Lee, A Park, S Oh arXiv preprint arXiv:1608.03694, 2016 | 6 | 2016 |
| Unsupervised holistic image generation from key local patches D Lee, S Yun, S Choi, H Yoo, MH Yang, S Oh Proceedings of the European Conference on Computer Vision (ECCV), 19-35, 2018 | 5 | 2018 |
| Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks S Choi, K Lee, S Oh 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016 | 5 | 2016 |
| Distributed Gaussian process regression for mobile sensor networks under localization uncertainty S Choi, M Jadaliha, J Choi, S Oh 52nd IEEE Conference on Decision and Control, 4766-4771, 2013 | 5 | 2013 |
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaVerified email at snu.ac.kr
