Learning convex optimization control policies
Many control policies used in applications compute the input or action by solving a convex
optimization problem that depends on the current state and some parameters. Common …
optimization problem that depends on the current state and some parameters. Common …
[PDF][PDF] Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - arXiv preprint arXiv …, 2019 - academia.edu
Many control policies used in various applications determine the input or action by solving a
convex optimization problem that depends on the current state and some parameters …
convex optimization problem that depends on the current state and some parameters …
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd… - Learning for Dynamics …, 2020 - proceedings.mlr.press
Many control policies used in applications compute the input or action by solving a convex
optimization problem that depends on the current state and some parameters. Common …
optimization problem that depends on the current state and some parameters. Common …
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Many control policies used in various applications determine the input or action by solving a
convex optimization problem that depends on the current state and some parameters …
convex optimization problem that depends on the current state and some parameters …
[PDF][PDF] Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - 2020 - stanford.edu
Many control policies used in various applications determine the input or action by solving a
convex optimization problem that depends on the current state and some parameters …
convex optimization problem that depends on the current state and some parameters …
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd… - … of Machine Learning …, 2020 - collaborate.princeton.edu
Many control policies used in applications compute the input or action by solving a convex
optimization problem that depends on the current state and some parameters. Common …
optimization problem that depends on the current state and some parameters. Common …
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - arXiv preprint arXiv:1912.09529, 2019 - arxiv.org
Many control policies used in various applications determine the input or action by solving a
convex optimization problem that depends on the current state and some parameters …
convex optimization problem that depends on the current state and some parameters …
Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - openreview.net
Many control policies used in applications compute the input or action by solving a convex
optimization problem that depends on the current state and some parameters. Common …
optimization problem that depends on the current state and some parameters. Common …
[PDF][PDF] Learning Convex Optimization Control Policies
A Agrawal, S Barratt, S Boyd, B Stellato - 2019 - stanford.edu
Many control policies used in various applications determine the input or action by solving a
convex optimization problem that depends on the current state and some parameters …
convex optimization problem that depends on the current state and some parameters …