Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions

Research article (Neurocomputing, 2022) · cited 29× · AI/ML
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Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions

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Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions. Retrieved May 24, 2026, from https://4ort.xyz/entity/safe-reinforcement-learning-for-affine-nonlinear-systems-with-state-constraints-and-input-saturation-using-control-barri
MLA “Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/safe-reinforcement-learning-for-affine-nonlinear-systems-with-state-constraints-and-input-saturation-using-control-barri.
BibTeX @misc{4ortxyz_safe-reinforcement-learning-for-affine-nonlinear-systems-with-state-constraints-and-input-saturation-using-control-barri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Safe reinforcement learning for affine nonlinear systems with state constraints and input saturation using control barrier functions}}, year = {2026}, url = {https://4ort.xyz/entity/safe-reinforcement-learning-for-affine-nonlinear-systems-with-state-constraints-and-input-saturation-using-control-barri}, note = {Accessed: 2026-05-24}}
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