Convergence and sample complexity of gradient methods for the model-free linear–quadratic regulator problem H Mohammadi, A Zare, M Soltanolkotabi, MR Jovanović IEEE Transactions on Automatic Control 67 (5), 2435-2450, 2021 | 149 | 2021 |
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator H Mohammadi, A Zare, M Soltanolkotabi, MR Jovanovic | 67 | 2019 |
Proximal algorithms for large-scale statistical modeling and sensor/actuator selection A Zare, H Mohammadi, NK Dhingra, TT Georgiou, MR Jovanović IEEE Transactions on Automatic Control 65 (8), 3441-3456, 2019 | 58* | 2019 |
On the linear convergence of random search for discrete-time LQR H Mohammadi, M Soltanolkotabi, MR Jovanović IEEE Control Systems Letters 5 (3), 989-994, 2020 | 55 | 2020 |
Robustness of accelerated first-order algorithms for strongly convex optimization problems H Mohammadi, M Razaviyayn, MR Jovanović IEEE Transactions on Automatic Control 66 (6), 2480-2495, 2020 | 42 | 2020 |
Estimating the region of attraction using polynomial optimization: A converse Lyapunov result M Jones, H Mohammadi, MM Peet 2017 IEEE 56th annual conference on decision and control (CDC), 1796-1802, 2017 | 23 | 2017 |
Random search for learning the linear quadratic regulator H Mohammadi, M Soltanolkotabi, MR Jovanovic 2020 American Control Conference (ACC), 4798-4803, 2020 | 17 | 2020 |
Variance amplification of accelerated first-order algorithms for strongly convex quadratic optimization problems H Mohammadi, M Razaviyayn, MR Jovanović 2018 IEEE Conference on Decision and Control (CDC), 5753-5758, 2018 | 16 | 2018 |
Computing stabilizing feedback gains via a model-free policy gradient method IK Ozaslan, H Mohammadi, MR Jovanović IEEE Control Systems Letters 7, 407-412, 2022 | 12 | 2022 |
On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information H Mohammadi, M Soltanolkotabi, MR Jovanović 2021 60th IEEE Conference on Decision and Control (CDC), 1120-1124, 2021 | 12 | 2021 |
Learning the model-free linear quadratic regulator via random search H Mohammadi, MR Jovanovic, M Soltanolkotabi Learning for Dynamics and Control, 531-539, 2020 | 12 | 2020 |
Transient growth of accelerated optimization algorithms H Mohammadi, S Samuelson, MR Jovanović IEEE Transactions on Automatic Control 68 (3), 1823-1830, 2022 | 11 | 2022 |
Performance of noisy Nesterov's accelerated method for strongly convex optimization problems H Mohammadi, M Razaviyayn, MR Jovanović 2019 American Control Conference (ACC), 3426-3431, 2019 | 11 | 2019 |
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms H Mohammadi, M Razaviyayn, MR Jovanović IEEE Transactions on Automatic Control, 2024 | 7 | 2024 |
On the stability of gradient flow dynamics for a rank-one matrix approximation problem H Mohammadi, M Razaviyayn, MR Jovanović 2018 Annual American Control Conference (ACC), 4533-4538, 2018 | 6 | 2018 |
Transient growth of accelerated first-order methods for strongly convex optimization problems H Mohammadi, S Samuelson, MR Jovanovic arXiv preprint arXiv:2103.08017, 2021 | 3 | 2021 |
Transient growth of accelerated first-order methods S Samuelson, H Mohammadi, MR Jovanović 2020 American Control Conference (ACC), 2858-2863, 2020 | 3 | 2020 |
On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian H Mohammadi, MR Jovanović 2022 American Control Conference (ACC), 926-931, 2022 | 1 | 2022 |
Model-Free Linear Quadratic Regulator H Mohammadi, M Soltanolkotabi, MR Jovanović Handbook of Reinforcement Learning and Control, 173-185, 2021 | 1 | 2021 |
On the transient growth of Nesterov’s accelerated method for strongly convex optimization problems S Samuelson, H Mohammadi, MR Jovanović 2020 59th IEEE Conference on Decision and Control (CDC), 5911-5916, 2020 | 1 | 2020 |