3 citations · 4 across the 3 of their papers we have counts for
3 papers
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems
Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato +1
This paper introduces a novel data-driven hierarchical control scheme for managing a fleet of nonlinear, capacity-constrained autonomous agents in an iterative environment. We prop…
Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
Gabriele Dragotto, Stefan Clarke, Jaime Fernández Fisac +1
We consider the problem of solving a family of parametric mixed-integer linear optimization problems where some entries in the input data change. We introduce the concept of cuttin…
Learning to Warm-Start Fixed-Point Optimization Algorithms
Rajiv Sambharya, Georgina Hall, Brandon Amos +1
We introduce a machine-learning framework to warm-start fixed-point optimization algorithms. Our architecture consists of a neural network mapping problem parameters to warm starts…