Reinforcement Learning-Guided Quadratically Constrained Quadratic Programming for Enhanced Convergence and Optimality.
Chaoying PeiZhi XuSixiong YouJeffrey SunRan DaiPublished in: CDC (2023)
Keyphrases
- quadratically constrained quadratic
- reinforcement learning
- semidefinite programming
- convex optimization
- interior point methods
- semi infinite
- kernel learning
- semidefinite program
- linear programming
- linear program
- learning algorithm
- state space
- semi definite programming
- primal dual
- optimal policy
- learning problems
- quadratic programming
- semidefinite
- least squares
- machine learning
- image restoration
- supervised learning