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PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem
mehr| Titel | PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem |
|---|---|
| Medien | IEEE 10th International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS) |
| Verlag | arXiv |
| Verfasser | Mateo Diz, Jonathan Hoss, Prof. Dr.-Ing. Noah Klarmann, B.Eng. Jonathan Hoß |
| Veröffentlichungsdatum | 31.10.2026 |
| Zitation | Diz, Mateo; Hoss, Jonathan; Klarmann, Noah; Hoß, Jonathan (2026): PORL: Pretrained Offline Reinforcement Learning for the Job Shop Scheduling Problem. IEEE 10th International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS). DOI: 10.48550/ARXIV.2609.30948 |