1 citations · 1 across the 3 of their papers we have counts for
3 papers
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty using Graph Neural Networks
Guillaume Infantes, Stéphanie Roussel, Antoine Jacquet +1
The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical scheduling problem that has received significant attention due to of its numerous applications in industr…
Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
Antoine Jacquet, Guillaume Infantes, Emmanuel Benazera +3
Earth Observation Satellite Planning (EOSP) is a difficult optimization problem with considerable practical interest. A set of requested observations must be scheduled on an agile…
Learning to Solve Job Shop Scheduling under Uncertainty
Guillaume Infantes, Stéphanie Roussel, Pierre Pereira +2
Job-Shop Scheduling Problem (JSSP) is a combinatorial optimization problem where tasks need to be scheduled on machines in order to minimize criteria such as makespan or delay. To…