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We study model-free learning methods for the output-feedback Linear Quadratic (LQ) control problem in finite-horizon subject to subspace constraints on the control policy.
First order methods for globally optimal distributed controllers beyond quadratic invariance
Luca Furieri and Maryam Kamgarpour · 1909
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Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L Bartlett, and Martin J Wainwright · 2018
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Stephen Tu and Benjamin Recht · 2018
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Safely learning to control the constrained linear quadratic regulator
Sarah Dean, Stephen Tu, Nikolai Matni, and Benjamin Recht · 2019
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Regret bounds for model-free linear quadratic control
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Improved regret bounds for thompson sampling in linear quadratic control problems
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On the exponential number of connected components for the feasible set of optimal decentralized control problems
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Sparsity invariance for convex design of distributed controllers
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