Logarithmic regret bound in partially observable linear dynamical systems S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar Neural Information Processing Systems (NeurIPS), 2020 | 101 | 2020 |
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 | 72* | 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 | 64* | 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 | 43* | 2021 |
Stochastic linear bandits with hidden low rank structure S Lale, K Azizzadenesheli, A Anandkumar, B Hassibi arXiv preprint arXiv:1901.09490, 2019 | 26 | 2019 |
Regret-optimal controller for the full-information problem O Sabag, G Goel, S Lale, B Hassibi 2021 American Control Conference (ACC), 4777-4782, 2021 | 20 | 2021 |
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 | 19 | 2021 |
Regret-optimal full-information control O Sabag, G Goel, S Lale, B Hassibi arXiv preprint arXiv:2105.01244, 2021 | 17 | 2021 |
Regret minimization in partially observable linear quadratic control S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar arXiv preprint arXiv:2002.00082, 2020 | 16 | 2020 |
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 | 12 | 2023 |
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 | 11 | 2022 |
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 | 10 | 2021 |
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 | 9* | 2023 |
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 | 9 | 2021 |
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 | 9 | 2020 |
Optimal competitive-ratio control O Sabag, S Lale, B Hassibi arXiv preprint arXiv:2206.01782, 2022 | 8 | 2022 |
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 | 5 | 2023 |
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 | 5 | 2021 |
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 | 4 | 2023 |
Explicit regularization via regularizer mirror descent N Azizan, S Lale, B Hassibi arXiv preprint arXiv:2202.10788, 2022 | 4* | 2022 |