1 code implementation • 23 Apr 2024 • Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Willems' fundamental lemma enables a trajectory-based characterization of linear systems through data-based Hankel matrices.
no code implementations • 20 Dec 2023 • Shuyuan Wang, Qi Li, Huiyuan Luo, Chengkan Lv, Zhengtao Zhang
Equipped with the above modules, POUTA is endowed with the ability to provide a more precise anomaly location than the prior arts.
Ranked #16 on Anomaly Detection on MVTec AD
1 code implementation • 21 Oct 2023 • Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
For the training of reinforcement learning agents, the set of all stable linear operators is given explicitly through a matrix factorization approach.
no code implementations • 26 Apr 2023 • Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
We adapt reinforcement learning (RL) methods for continuous control to bridge the gap between complete ignorance and perfect knowledge of the environment.
no code implementations • 7 Apr 2023 • Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
We propose a framework for the design of feedback controllers that combines the optimization-driven and model-free advantages of deep reinforcement learning with the stability guarantees provided by using the Youla-Kucera parameterization to define the search domain.