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Soon-Seo Park
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Journal Articles
- 2021
- [j5]Young-Jin Park, Soon-Seo Park, Han-Lim Choi:
Bayesian Nonparametric State-Space Model for System Identification with Distinguishable Multimodal Dynamics. J. Aerosp. Inf. Syst. 18(3): 116-131 (2021) - 2019
- [j4]Soon-Seo Park, Youngjae Min, Jung-Su Ha, Doo-Hyun Cho, Han-Lim Choi
:
A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking. IEEE Access 7: 163589-163603 (2019) - [j3]Jung-Su Ha, Soon-Seo Park, Han-Lim Choi:
Topology-guided path integral approach for stochastic optimal control in cluttered environment. Robotics Auton. Syst. 113: 81-93 (2019) - [j2]Juhyung Kim, Doo-Hyun Cho
, Woo-Cheol Lee, Soon-Seo Park, Han-Lim Choi
:
Optimal Target Assignment with Seamless Handovers for Networked Radars. Sensors 19(20): 4555 (2019) - 2018
- [j1]Su-Jin Lee, Soon-Seo Park, Han-Lim Choi
:
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. IEEE Access 6: 79245-79257 (2018)
Conference and Workshop Papers
- 2021
- [c4]Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. ICRA 2021: 4459-4466 - 2019
- [c3]Juhyung Kim, Ming Chong Lim, Soon-Seo Park, Iksoo Kim, Han-Lim Choi:
Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks. RiTA 2019: 26-31 - 2018
- [c2]Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Adaptive Path-Integral Approach for Representation Learning and Planning. ICLR (Workshop) 2018 - [c1]Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems. NeurIPS 2018: 8941-8952
Informal and Other Publications
- 2020
- [i7]Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. CoRR abs/2011.08345 (2020) - 2019
- [i6]Soon-Seo Park, Young-Jin Park, Han-Lim Choi:
Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems. CoRR abs/1903.08643 (2019) - [i5]Youngjae Min, Soon-Seo Park, Han-Lim Choi:
Informative Planning of Mobile Sensor Networks in GPS-Denied Environments. CoRR abs/1909.11046 (2019) - 2018
- [i4]Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems. CoRR abs/1807.02128 (2018) - [i3]Soon-Seo Park, Jung-Su Ha, Doo-Hyun Cho, Han-Lim Choi:
A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking. CoRR abs/1807.11068 (2018) - [i2]Su-Jin Lee, Soon-Seo Park, Han-Lim Choi:
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. CoRR abs/1811.05339 (2018) - 2016
- [i1]Jung-Su Ha, Soon-Seo Park, Han-Lim Choi:
Asymptotically Optimal Sampling-Based Algorithms for Topological Motion Planning. CoRR abs/1603.05099 (2016)
Coauthor Index
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