Feasibility-aware imitation learning accelerates Benders decomposition by predicting feasible integer assignments in the master problem, improving solution times over prior imitation learning methods while retaining finite convergence.
Towards accelerating Benders decomposition via reinforcement learning surrogate models
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Feasibility-Aware Imitation Learning for Benders Decomposition
Feasibility-aware imitation learning accelerates Benders decomposition by predicting feasible integer assignments in the master problem, improving solution times over prior imitation learning methods while retaining finite convergence.