Soon-Seo Park

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 16

Top Topics

Target Tracking

Dynamical Systems

Mobile Sensor Networks

Reinforcement Learning

Top Venues

Publications

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)
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) (2021)
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 (2020)
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 (2019)
Youngjae Min, Soon-Seo Park, Han-Lim Choi
Informative Planning of Mobile Sensor Networks in GPS-Denied Environments. CoRR (2019)
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)
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 (2019)
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) (2019)
Soon-Seo Park, Young-Jin Park, Han-Lim Choi
Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems. CoRR (2019)
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)
Su-Jin Lee, Soon-Seo Park, Han-Lim Choi
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. IEEE Access 6 (2018)
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)
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 (2018)
Su-Jin Lee, Soon-Seo Park, Han-Lim Choi
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. CoRR (2018)
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 (2018)
Jung-Su Ha, Soon-Seo Park, Han-Lim Choi
Asymptotically Optimal Sampling-Based Algorithms for Topological Motion Planning. CoRR (2016)