Sungjoon Choi
Sungjoon Choi
Disney Research
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Human behavior prediction for smart homes using deep learning
S Choi, E Kim, S Oh
2013 IEEE RO-MAN, 173-179, 2013
692013
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
532018
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
382014
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
322016
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
312014
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
282018
Distributed gaussian process regression under localization uncertainty
S Choi, M Jadaliha, J Choi, S Oh
Journal of Dynamic Systems, Measurement, and Control 137 (3), 031007, 2015
182015
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
132019
Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments
S Choi, K Lee, S Oh
Robotics and Autonomous Systems, 2017
132017
Maximum causal tsallis entropy imitation learning
K Lee, S Choi, S Oh
arXiv preprint arXiv:1805.08336, 2018
122018
Inverse Reinforcement Learning with Leveraged Gaussian Processes
K Lee, S Choi, S Oh
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
112016
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
112015
Choicenet: Robust learning by revealing output correlations
S Choi, S Hong, K Lee, S Lim
92018
Towards a natural motion generator: A pipeline to control a humanoid based on motion data
S Choi, J Kim
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
72019
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
72019
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
72018
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
72018
Density matching reward learning
S Choi, K Lee, A Park, S Oh
arXiv preprint arXiv:1608.03694, 2016
72016
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
72015
Tsallis reinforcement learning: A unified framework for maximum entropy reinforcement learning
K Lee, S Kim, S Lim, S Choi, S Oh
arXiv preprint arXiv:1902.00137, 2019
62019
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