
Safely Learning to Control the Constrained Linear Quadratic Regulator
We study the constrained linear quadratic regulator with unknown dynamic...
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Certainty Equivalent Control of LQR is Efficient
We study the performance of the certainty equivalent controller on the L...
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The Gap Between ModelBased and ModelFree Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
The effectiveness of modelbased versus modelfree methods is a longsta...
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Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
We consider adaptive control of the Linear Quadratic Regulator (LQR), wh...
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From selftuning regulators to reinforcement learning and back again
Machine and reinforcement learning (RL) are being applied to plan and co...
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Learning Control Barrier Functions from Expert Demonstrations
Inspired by the success of imitation and inverse reinforcement learning ...
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On the Sample Complexity of the Linear Quadratic Regulator
This paper addresses the optimal control problem known as the Linear Qua...
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CYCLADES: Conflictfree Asynchronous Machine Learning
We present CYCLADES, a general framework for parallelizing stochastic op...
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Large Scale Kernel Learning using Block Coordinate Descent
We demonstrate that distributed block coordinate descent can quickly sol...
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LeastSquares Temporal Difference Learning for the Linear Quadratic Regulator
Reinforcement learning (RL) has been successfully used to solve many con...
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Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
We prove that the ordinary leastsquares (OLS) estimator attains nearly ...
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Learning Contracting Vector Fields For Stable Imitation Learning
We propose a new nonparametric framework for learning incrementally sta...
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Minimax Lower Bounds for H_∞Norm Estimation
The problem of estimating the H_∞norm of an LTI system from noisy input...
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Finitetime Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
We study the sample complexity of approximate policy iteration (PI) for ...
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A Tutorial on Concentration Bounds for System Identification
We provide a brief tutorial on the use of concentration inequalities as ...
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Stephen Tu
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