no code implementations • 29 Aug 2022 • Yahya Sattar, Samet Oymak, Necmiye Ozay
This motivates the problem of learning bilinear systems from a single trajectory of the system's states and inputs.
no code implementations • 13 Nov 2021 • Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
Combining our sample complexity results with recent perturbation results for certainty equivalent control, we prove that when the episode lengths are appropriately chosen, the proposed adaptive control scheme achieves $\mathcal{O}(\sqrt{T})$ regret, which can be improved to $\mathcal{O}(polylog(T))$ with partial knowledge of the system.
no code implementations • 26 May 2021 • Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
Real-world control applications often involve complex dynamics subject to abrupt changes or variations.
no code implementations • 23 Oct 2020 • Yahya Sattar, Zubair Khalid
We also present the design of a band-limited optimally concentrated window function for spatial localization of the data in the region of interest.
no code implementations • 19 Jun 2020 • Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak
Model pruning is an essential procedure for building compact and computationally-efficient machine learning models.
no code implementations • 20 Feb 2020 • Yahya Sattar, Samet Oymak
If the system is run by a stabilizing input policy, we show that temporally-dependent samples can be approximated by i. i. d.
no code implementations • 3 Jul 2019 • Yahya Sattar, Samet Oymak
We propose projected gradient descent (PGD) algorithm to estimate the population minimizer in the finite sample regime.