Probabilistic feasibility in data-driven multi-agent non-convex optimization.
Lucrezia ManieriAlessandro FalsoneMaria PrandiniPublished in: Annu. Rev. Control. (2023)
Keyphrases
- convex optimization
- data driven
- multi agent
- interior point methods
- low rank
- total variation
- convex optimization problems
- norm minimization
- convex relaxation
- primal dual
- operator splitting
- convex formulation
- probabilistic model
- evolutionary algorithm
- convex constraints
- reinforcement learning
- image denoising
- kernel function
- np hard
- pairwise
- high quality