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Sahin Lale
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Year
Logarithmic regret bound in partially observable linear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Neural Information Processing Systems (NeurIPS), 2020
992020
Reinforcement learning with fast stabilization in linear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
International Conference on Artificial Intelligence and Statistics, 5354-5390, 2022
70*2022
Stochastic mirror descent on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7717-7727, 2021
63*2021
Adaptive control and regret minimization in linear quadratic gaussian (lqg) setting
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
2021 American Control Conference (ACC), 2517-2522, 2021
42*2021
Stochastic linear bandits with hidden low rank structure
S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
arXiv preprint arXiv:1901.09490, 2019
262019
Regret-optimal controller for the full-information problem
O Sabag, G Goel, S Lale, B Hassibi
2021 American Control Conference (ACC), 4777-4782, 2021
202021
Model learning predictive control in nonlinear dynamical systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
2021 60th IEEE Conference on Decision and Control (CDC), 757-762, 2021
192021
Regret-optimal full-information control
O Sabag, G Goel, S Lale, B Hassibi
arXiv preprint arXiv:2105.01244, 2021
172021
Regret minimization in partially observable linear quadratic control
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv preprint arXiv:2002.00082, 2020
162020
Forecasting subcritical cylinder wakes with Fourier Neural Operators
PI Renn, C Wang, S Lale, Z Li, A Anandkumar, M Gharib
arXiv preprint arXiv:2301.08290, 2023
112023
Thompson Sampling Achieves Regret in Linear Quadratic Control
T Kargin*, S Lale*, K Azizzadenesheli, A Anandkumar, B Hassibi
Conference on Learning Theory, 3235-3284, 2022
112022
Stable online control of linear time-varying systems
G Qu*, Y Shi*, S Lale*, A Anandkumar, A Wierman
Learning for Dynamics and Control, 742-753, 2021
92021
Finite-time system identification and adaptive control in autoregressive exogenous systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Learning for Dynamics and Control, 967-979, 2021
92021
A study of generalization of stochastic mirror descent algorithms on overparameterized nonlinear models
N Azizan, S Lale, B Hassibi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
92020
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems
S Lale, Y Shi, G Qu, K Azizzadenesheli, A Wierman, A Anandkumar
2023 62nd IEEE Conference on Decision and Control (CDC), 1334-1341, 2023
8*2023
Optimal competitive-ratio control
O Sabag, S Lale, B Hassibi
arXiv preprint arXiv:2206.01782, 2022
82022
Thompson sampling for partially observable linear-quadratic control
T Kargin, S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi
2023 American Control Conference (ACC), 4561-4568, 2023
52023
Cem-gd: Cross-entropy method with gradient descent planner for model-based reinforcement learning
K Huang, S Lale, U Rosolia, Y Shi, A Anandkumar
arXiv preprint arXiv:2112.07746, 2021
52021
Explicit regularization via regularizer mirror descent
N Azizan, S Lale, B Hassibi
arXiv preprint arXiv:2202.10788, 2022
4*2022
Stochastic linear bandits with unknown safety constraints and local feedback
KN Varma, S Lale, A Anandkumar
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023
32023
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