Learning to Cut: Reinforcement Learning for Benders Decomposition
概要
arXiv:2605.06516v1 Announce Type: cross Abstract: Benders decomposition (BD) is a widely used solution approach for solving two-stage stochastic programs arising in real-world decision-making under uncertainty. However, it often suffers from slow convergence as the master problem grows with an incr…
