Learning to Solve Job Shop Scheduling under Uncertainty

1 code implementation • 4 Mar 2024 • Guillaume Infantes, Stéphanie Roussel, Pierre Pereira, Antoine Jacquet, Emmanuel Benazera

Key contributions of this research include: (1) advancements in DRL applications to JSSPs, enhancing generalization and scalability, (2) a novel method for addressing JSSPs with uncertain durations.

Combinatorial Optimization Job Shop Scheduling +1

Open Loop Execution of Tree-Search Algorithms, extended version

no code implementations • 3 May 2018 • Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson

In the context of tree-search stochastic planning algorithms where a generative model is available, we consider on-line planning algorithms building trees in order to recommend an action.