Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-Dependent Riccati Equations (2022)
Attributed to:
Overcoming the curse of dimensionality in dynamic programming by tensor decompositions
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/lcsys.2021.3086697
Publication URI: http://dx.doi.org/10.1109/lcsys.2021.3086697
Type: Journal Article/Review
Parent Publication: IEEE Control Systems Letters