Showing results 1 to 6 of 6
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 |
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 |
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 |
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