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Found 3 papers, 2 papers with code
Inverse Optimization for Routing Problems
We propose a method for learning decision-makers' behavior in routing problems using Inverse Optimization (IO).
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms
In Inverse Optimization (IO), an expert agent solves an optimization problem parametric in an exogenous signal.
Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments
In the past few years, Online Convex Optimization (OCO) has received notable attention in the control literature thanks to its flexible real-time nature and powerful performance guarantees.
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