Mohamad Kazem Shirani Faradonbeh

CoRR, 2024

Joint learning of linear time-invariant dynamical systems.

[BibT_eX]

[DOI]

Aditya Modi

Autom., 2024

2023

Online Reinforcement Learning in Stochastic Continuous-Time Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Learning-Based Stabilization of Multiple Unknown Linear Systems.

[BibT_eX]

[DOI]

Aditya Modi

CoRR, 2022

Thompson Sampling Efficiently Learns to Control Diffusion Processes.

[BibT_eX]

[DOI]

Mohsen Bayati

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A novel video recommendation system for algebra: An effectiveness evaluation study.

[BibT_eX]

[DOI]

Walter L. Leite

Samrat Roy

Nilanjana Chakraborty

Anne Corinne Huggins-Manley

Sidney D'Mello

Emily Jensen

Huan Kuang

Zeyuan Jing

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Regret Analysis of Certainty Equivalence Policies in Continuous-Time Linear-Quadratic Systems.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Estimation and Control of Unknown Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

2020

On adaptive Linear-Quadratic regulators.

[BibT_eX]

[DOI]

Autom., 2020

Input perturbations for adaptive control and learning.

[BibT_eX]

[DOI]

Autom., 2020

2019

Finite-Time Adaptive Stabilization of Linear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Online Distributed Estimation of Principal Eigenspaces.

[BibT_eX]

[DOI]

Davoud Ataee Tarzanagh

Proceedings of the IEEE Data Science Workshop, 2019

Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

On Applications of Bootstrap in Continuous Space Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Input Perturbations for Adaptive Regulation and Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Finite Time Adaptive Stabilization of LQ Systems.

[BibT_eX]

[DOI]

CoRR, 2018

On Optimality of Adaptive Linear-Quadratic Regulators.

[BibT_eX]

[DOI]

CoRR, 2018

Finite time identification in unstable linear systems.

[BibT_eX]

[DOI]

Autom., 2018

2017

Optimality of Fast-Matching Algorithms for Random Networks With Applications to Structural Controllability.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2017

Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems.

[BibT_eX]

[DOI]