Finite Time Identification in Unstable Linear Systems MK Shirani Faradonbeh, A Tewari, G Michailidis Automatica 96, 342-353, 2018 | 148 | 2018 |
Comparisons of Patient Satisfaction Levels with Complete Dentures of Different Occlusions: A Randomized Clinical Trial M Shirani, R Mosharraf, MK Shirani Faradonbeh Journal of Prosthodontics 23, 259-266, 2014 | 69 | 2014 |
Finite Time Adaptive Stabilization of Linear Systems MKS Faradonbeh, A Tewari, G Michailidis IEEE Transactions on Automatic Control 64 (8), 3498-3505, 2019 | 63 | 2019 |
Optimism-based adaptive regulation of linear-quadratic systems MKS Faradonbeh, A Tewari, G Michailidis IEEE Transactions on Automatic Control 66 (4), 1802-1808, 2020 | 62 | 2020 |
On adaptive linear–quadratic regulators MKS Faradonbeh, A Tewari, G Michailidis Automatica 117, 108982, 2020 | 54 | 2020 |
Input perturbations for adaptive control and learning MKS Faradonbeh, A Tewari, G Michailidis Automatica 117, 108950, 2020 | 52 | 2020 |
Finite time analysis of optimal adaptive policies for linear-quadratic systems MKS Faradonbeh, A Tewari, G Michailidis arXiv preprint arXiv:1711.07230, 2017 | 30 | 2017 |
On optimality of adaptive linear-quadratic regulators MKS Faradonbeh, A Tewari, G Michailidis arXiv preprint arXiv:1806.10749, 2018 | 20 | 2018 |
Optimality of fast-matching algorithms for random networks with applications to structural controllability MKS Faradonbeh, A Tewari, G Michailidis IEEE Transactions on Control of Network Systems 4 (4), 770-780, 2016 | 19 | 2016 |
Analysis of thompson sampling for partially observable contextual multi-armed bandits H Park, MKS Faradonbeh IEEE Control Systems Letters 6, 2150-2155, 2021 | 17 | 2021 |
Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems MKS Faradonbeh, A Tewari, G Michailidis 2019 IEEE Data Science Workshop (DSW), 170-174, 2019 | 17 | 2019 |
Joint learning of linear time-invariant dynamical systems A Modi, MKS Faradonbeh, A Tewari, G Michailidis Automatica 164, 111635, 2024 | 16 | 2024 |
Input perturbations for adaptive regulation and learning MKS Faradonbeh, A Tewari, G Michailidis arXiv preprint arXiv:1811.04258, 2018 | 16 | 2018 |
A novel video recommendation system for algebra: An effectiveness evaluation study WL Leite, S Roy, N Chakraborty, G Michailidis, AC Huggins-Manley, ... | 15 | 2022 |
Thompson sampling efficiently learns to control diffusion processes MK Shirani Faradonbeh, MS Shirani Faradonbeh, M Bayati Advances in Neural Information Processing Systems 35, 3871-3884, 2022 | 8 | 2022 |
On Applications of Bootstrap in Continuous Space Reinforcement Learning MKS Faradonbeh, A Tewari, G Michailidis 2019 IEEE 58th Conference on Decision and Control (CDC) 2019, 1977-1984, 2019 | 8 | 2019 |
The effects of a personalized recommendation system on students’ high-stakes achievement scores: A field experiment N Chakraborty, S Roy, WL Leite, MK Shirani Faradonbeh, G Michailidis | 7 | 2021 |
Worst-case performance of greedy policies in bandits with imperfect context observations H Park, MKS Faradonbeh 2022 IEEE 61st Conference on Decision and Control (CDC), 1374-1379, 2022 | 5 | 2022 |
Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts H Park, MKS Faradonbeh IFAC-PapersOnLine 55 (12), 383-388, 2022 | 5 | 2022 |
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems MKS Faradonbeh, A Modi IFAC-PapersOnLine 55 (12), 723-728, 2022 | 5 | 2022 |