Showing results 1 to 15 of 15
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 |
A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking Park, Soon-Seo; Min, Youngjae; Ha, Jung-Su; Cho, Doo-Hyun; Choi, Han-Lim, IEEE ACCESS, v.7, pp.163589 - 163603, 2019-11 |
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, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, v.2019, no.12, 2019-12 |
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 |
Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks Kim, Juhyung; Lim, Ming Chong; Park, Soon-Seo; Kim, Iksoo; Choi, Han-Lim, 7th International Conference on Robot Intelligence Technology and Applications, RiTA 2019, pp.26 - 31, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
Bayesian learning and planning methods for partially observable dynamical systems = 부분 관측 가능 동적 시스템을 위한 베이지안 학습 및 계획 기법link Park, Soon-Seo; Choi, Han-Lim; et al, 한국과학기술원, 2020 |
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 |
Convexity-based sequential track resource allocation for a phased array radar Park, Soon-Seo; Jang, Dae-Sung; Choi, Han-Lim, 18th International Conference on Control, Automation and Systems (ICCAS), pp.791 - 794, IEEE, 2018-10-19 |
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 |
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 |
Optimal Target Assignment with Seamless Handovers for Networked Radars Kim, Juhyung; Cho, Doo-Hyun; Lee, Woo-Cheol; Park, Soon-Seo; Choi, Han-Lim, SENSORS, v.19, no.20, 2019-10 |
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking Lee, Su-Jin; Park, Soon-Seo; Choi, Han-Lim, IEEE ACCESS, v.6, pp.79245 - 79257, 2018-12 |
Topology-guided path integral approach for stochastic optimal control in cluttered environment Ha, Jung-Su; Park, Soon-Seo; Choi, Han-Lim, ROBOTICS AND AUTONOMOUS SYSTEMS, v.113, pp.81 - 93, 2019-03 |
UAV path planning for local defense systems Chae, Hyeok-Joo; Park, Soon-Seo; Kim, Han-Vit; Ko, Hyo-Sang; Choi, Han-Lim, International Conference on Robot Intelligence and Applications, KAIST, 2018-12-18 |
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