Sahin Lale | DeepAI

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∙ 01/19/2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators

We apply Fourier neural operators (FNOs), a state-of-the-art operator le...

33 Peter I Renn, et al. ∙

∙ 06/17/2022

Thompson Sampling Achieves Õ(√(T)) Regret in Linear Quadratic Control

Thompson Sampling (TS) is an efficient method for decision-making under ...

31 Taylan Kargin, et al. ∙

∙ 06/03/2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems

Learning a dynamical system requires stabilizing the unknown dynamics to...

17 Sahin Lale, et al. ∙

∙ 02/22/2022

Explicit Regularization via Regularizer Mirror Descent

Despite perfectly interpolating the training data, deep neural networks ...

4 Navid Azizan, et al. ∙

∙ 12/14/2021

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning

Current state-of-the-art model-based reinforcement learning algorithms u...

31 Kevin Huang, et al. ∙

∙ 08/26/2021

Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems

Autoregressive exogenous (ARX) systems are the general class of input-ou...

7 Sahin Lale, et al. ∙

∙ 05/04/2021

Regret-Optimal Full-Information Control

We consider the infinite-horizon, discrete-time full-information control...

1 Oron Sabag, et al. ∙

∙ 04/29/2021

Stable Online Control of LTV Systems Stable Online Control of Linear Time-Varying Systems

Linear time-varying (LTV) systems are widely used for modeling real-worl...

6 Guannan Qu, et al. ∙

∙ 12/08/2020

Stability and Identification of Random Asynchronous Linear Time-Invariant Systems

In many computational tasks and dynamical systems, asynchrony and random...

3 Sahin Lale, et al. ∙

∙ 07/23/2020

Explore More and Improve Regret in Linear Quadratic Regulators

Stabilizing the unknown dynamics of a control system and minimizing regr...

27 Sahin Lale, et al. ∙

∙ 03/25/2020

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems

We study the problem of adaptive control in partially observable linear ...

4 Sahin Lale, et al. ∙

∙ 03/12/2020

Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems

We study the problem of adaptive control in partially observable linear ...

4 Sahin Lale, et al. ∙

∙ 01/31/2020

Regret Minimization in Partially Observable Linear Quadratic Control

We study the problem of regret minimization in partially observable line...

13 Sahin Lale, et al. ∙

∙ 06/10/2019

Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization

Most modern learning problems are highly overparameterized, meaning that...

0 Navid Azizan, et al. ∙

∙ 01/28/2019

Stochastic Linear Bandits with Hidden Low Rank Structure

High-dimensional representations often have a lower dimensional underlyi...

18 Sahin Lale, et al. ∙

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