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Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon

Ben Hambly, Renyuan Xu, Huining Yang

2021SIAM Journal on Control and Optimization52 citationsDOI

Abstract

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 24 November 2020Accepted: 15 June 2021Published online: 28 September 2021Keywordslinear quadratic regulator, reinforcement learning, policy gradient method, stochastic control, optimal liquidation, optimal executionAMS Subject Headings68Q25, 68R10, 68U05Publication DataISSN (print): 0363-0129ISSN (online): 1095-7138Publisher: Society for Industrial and Applied MathematicsCODEN: sjcodc

Topics & Concepts

RegulatorLinear-quadratic regulatorOptimal controlMathematicsControl theory (sociology)Stochastic controlQuadratic equationLinear-quadratic-Gaussian controlSubject (documents)Mathematical optimizationHorizonApplied mathematicsControl (management)Mathematical economicsComputer scienceArtificial intelligenceLibrary scienceGeneGeometryChemistryBiochemistryAdaptive Dynamic Programming ControlReinforcement Learning in RoboticsAdvanced Control Systems Optimization
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