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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...
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06/17/2022
Thompson Sampling Achieves Õ(√(T)) Regret in Linear Quadratic Control
Thompson Sampling (TS) is an efficient method for decision-making under ...
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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...
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02/22/2022
Explicit Regularization via Regularizer Mirror Descent
Despite perfectly interpolating the training data, deep neural networks ...
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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...
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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...
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05/04/2021
Regret-Optimal Full-Information Control
We consider the infinite-horizon, discrete-time full-information control...
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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...
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12/08/2020
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
In many computational tasks and dynamical systems, asynchrony and random...
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07/23/2020
Explore More and Improve Regret in Linear Quadratic Regulators
Stabilizing the unknown dynamics of a control system and minimizing regr...
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03/25/2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
We study the problem of adaptive control in partially observable linear ...
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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 ...
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01/31/2020
Regret Minimization in Partially Observable Linear Quadratic Control
We study the problem of regret minimization in partially observable line...
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06/10/2019
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization
Most modern learning problems are highly overparameterized, meaning that...
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01/28/2019
