نسخة أولية وصول مفتوح
Outperformance Inverse Optimization: Learning Objective Functions that Outperform Agent Decisions
Inverse optimization estimates the weights of an objective function that explain observed decisions as optimal solutions, and is used in a variety of fields. For mixed-integer linear programs (MILPs), existing methods aim to reproduce the observations as optimal solutions, and thus learn compromise weights when the obs …