Litcius/Paper detail

Model-free <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e39" altimg="si4.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control of Itô stochastic system via off-policy reinforcement learning

Weihai Zhang, Jing Guo, Xiushan Jiang

2025Automatica10 citationsDOI

Topics & Concepts

Computer scienceAlgorithmComputer graphics (images)Artificial intelligenceAdaptive Dynamic Programming ControlAdaptive Control of Nonlinear SystemsControl Systems and Identification
Model-free <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e39" altimg="si4.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control of Itô stochastic system via off-policy reinforcement learning | Litcius