Bilevel learning for large-scale flexible flow shop scheduling

•Effective and efficient scheduling method for large scale industrial problems.•Bilevel constraint Markov Decision Process to model the scheduling.•A theoretical guarantee of convergence to Stackelberg equilibrium.•Bilevel deep reinforcement learning framework to learn the problem.•Demonstrating the benefits of our method on benchmarks and industrial data.