Browse "Dept. of Aerospace Engineering(항공우주공학과)" by Author Park, Young-Jin
Showing results 1 to 11 of 11
| A bayesian approach to learning and planning for partially observable dynamical systems Park, Soon-Seo; Park, Young-Jin; Choi, Han-Lim, AIAA Scitech Forum, 2019, American Institute of Aeronautics and Astronautics Inc, AIAA, 2019-01 |
| Adaptive path-integral approach for representation learning and planning Ha, Jung-Su; Park, Young-Jin; Chae, Hyeok-Joo; Park, Soon-Seo; Choi, Han-Lim, 6th International Conference on Learning Representations, ICLR 2018, International Conference on Learning Representations, ICLR, 2018-05 |
| Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems Ha, Jung-Su; Park, Young-Jin; Chae, Hyeok-Joo; Park, Soon-Seo; Choi, Han-Lim, 32nd Conference on Neural Information Processing Systems (NIPS), NIPS Foundation, 2018-12-05 |
| Bayesian Nonparametric State-Space Model for System Identification with Distinguishable Multimodal Dynamics Park, Young-Jin; Park, Soon-Seo; Choi, Han-Lim, JOURNAL OF AEROSPACE INFORMATION SYSTEMS, v.18, no.3, pp.116 - 131, 2021-03 |
| Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization Park, Young-Jin; Tagade, Piyush M.; Choi, Han-Lim, IEEE ACCESS, v.6, pp.49432 - 49449, 2018-10 |
| Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Ha, Jung-Su; Park, Young-Jin; Chae, Hyeok-Joo; Park, Soon-Seo; Choi, Han-Lim, 2021 IEEE International Conference on Robotics and Automation (ICRA), pp.4459 - 4466, IEEE, 2021-05-30 |
Efficient sensor network planning based on approximate potential games Lee, Su-Jin; Park, Young-Jin; Choi, Han-Lim, INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.14, no.6, 2018-06 |
| High-resolution reconstruction for no data gaps in narrow angle camera digital terrain models using Gaussian process-latent variable model Park, Young-Jin; Moon, SungHyun; Choi, Han-Lim, Lunar and Planetary Science Conference 2018, Lunar and Planetary Institute, NASA, 2018-03-20 |
| Infossm: Interpretable unsupervised learning of nonparametric state-space model for multi-modal dynamics Park, Young-Jin; Choi, Han-Lim, AIAA Scitech Forum, 2019, American Institute of Aeronautics and Astronautics Inc, AIAA, 2019-01 |
| Interpretable unsupervised learning of bayesian nonparametric dynamic state-space model = 베이지안 비모수적 상태공간 모델의 설명가능 비지도 학습 기법link Park, Young-Jin; Choi, Han-Lim; et al, 한국과학기술원, 2019 |
| Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems Park, Soon-Seo; Park, Young-Jin; Min, Youngjae; Choi, Han-Lim, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.20, no.2, pp.601 - 617, 2022-02 |
Discover
Open Access
- 87 OA Article
Date issued
- 1,262 2020 - 2024
- 3,972 2010 - 2019
- 3,299 2000 - 2009
- 1,483 1990 - 1999
- 392 1980 - 1989