Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems
NCSOFT (South Korea) · NAVER Cloud (South Korea) · Naver (South Korea) · American Institute of Aeronautics and Astronautics · Massachusetts Institute of Technology · Korea Advanced Institute of Science and Technology
- 2022-02-01
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@article{park2019online,
title = {Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems},
author = {Soon-Seo Park and Young-Jin Park and Young-Jae Min and Han‐Lim Choi},
year = {2019},
journal = {International Journal of Control Automation and Systems},
eprint = {1903.08643},
archivePrefix = {arXiv},
doi = {10.1007/s12555-020-0538-y},
url = {https://arxiv.org/abs/1903.08643},
}