PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem

Mateo Toro Diz, Jonathan Hoss, Noah Klarmann

The Job Shop Scheduling Problem (JSSP) is a fundamental combinatorial optimization problem in industrial optimization. This work introduces Pretrained Offline Reinforcement Learnin…