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Hesameddin Mohammadi
Hesameddin Mohammadi
Senior Software Engineer, Nvidia
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
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
1492021
Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator
H Mohammadi, A Zare, M Soltanolkotabi, MR Jovanovic
672019
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
552020
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
422020
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
232017
Random search for learning the linear quadratic regulator
H Mohammadi, M Soltanolkotabi, MR Jovanovic
2020 American Control Conference (ACC), 4798-4803, 2020
172020
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
162018
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
122022
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
122021
Learning the model-free linear quadratic regulator via random search
H Mohammadi, MR Jovanovic, M Soltanolkotabi
Learning for Dynamics and Control, 531-539, 2020
122020
Transient growth of accelerated optimization algorithms
H Mohammadi, S Samuelson, MR Jovanović
IEEE Transactions on Automatic Control 68 (3), 1823-1830, 2022
112022
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
112019
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
72024
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
62018
Transient growth of accelerated first-order methods for strongly convex optimization problems
H Mohammadi, S Samuelson, MR Jovanovic
arXiv preprint arXiv:2103.08017, 2021
32021
Transient growth of accelerated first-order methods
S Samuelson, H Mohammadi, MR Jovanović
2020 American Control Conference (ACC), 2858-2863, 2020
32020
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
12022
Model-Free Linear Quadratic Regulator
H Mohammadi, M Soltanolkotabi, MR Jovanović
Handbook of Reinforcement Learning and Control, 173-185, 2021
12021
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
12020
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