Convex Optimization-Based Policy Adaptation to Compensate for Distributional Shifts.
Navid HashemiJustin RuthsJyotirmoy V. DeshmukhPublished in: CDC (2023)
Keyphrases
- convex optimization
- interior point methods
- optimal policy
- low rank
- convex formulation
- convex relaxation
- norm minimization
- total variation
- primal dual
- machine learning
- convex constraints
- convex optimization problems
- alternating direction method of multipliers
- semidefinite program
- low rank matrix
- image denoising
- np hard
- video sequences
- feature extraction
- face recognition
- image segmentation