Asymptotically Optimal Sampling-Based Algorithms for Topological Motion Planning. - Jung-Su Ha; Soon-Seo Park; Han-Lim Choi (CoRR, 2016)

Adaptive Path-Integral Approach for Representation Learning and Planning. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (ICLR (Workshop), 2018)

Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (NeurIPS, 2018)

Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking. - Su-Jin Lee; Soon-Seo Park; Han-Lim Choi (IEEE Access, 2018)

Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (CoRR, 2018)

A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking. - Soon-Seo Park; Jung-Su Ha; Doo-Hyun Cho; Han-Lim Choi (CoRR, 2018)

Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks. - Juhyung Kim; Ming Chong Lim; Soon-Seo Park; Iksoo Kim; Han-Lim Choi (RiTA, 2019)

A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking. - Soon-Seo Park; Youngjae Min; Jung-Su Ha; Doo-Hyun Cho; Han-Lim Choi (IEEE Access, 2019)

Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems. - Soon-Seo Park; Young-Jin Park; Han-Lim Choi (CoRR, 2019)

Informative Planning of Mobile Sensor Networks in GPS-Denied Environments. - Youngjae Min; Soon-Seo Park; Han-Lim Choi (CoRR, 2019)

Topology-guided path integral approach for stochastic optimal control in cluttered environment. - Jung-Su Ha; Soon-Seo Park; Han-Lim Choi (Robotics Auton. Syst., 2019)

Optimal Target Assignment with Seamless Handovers for Networked Radars. - Juhyung Kim; Doo-Hyun Cho; Woo-Cheol Lee; Soon-Seo Park; Han-Lim Choi (Sensors, 2019)

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. - Jung-Su Ha; Young-Jin Park; Hyeok-Joo Chae; Soon-Seo Park; Han-Lim Choi (ICRA, 2021)

Bayesian Nonparametric State-Space Model for System Identification with Distinguishable Multimodal Dynamics. - Young-Jin Park; Soon-Seo Park; Han-Lim Choi (J. Aerosp. Inf. Syst., 2021)