Curriculum Learning with GNN-based Reinforcement Learning for Job Shop Scheduling
Vasudevan, Jayakrishnan; Hoss, Jonathan; Klarmann, Noah; Hoß, Jonathan (2026)
IEEE 10th International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS).
DOI: 10.48550/ARXIV.2609.28085
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
Link, Moritz; Hoss, Jonathan; Klarmann, Noah; Hoß, Jonathan (2026)
IEEE 22st International Conference on Automation Science and Engineering (CASE).
DOI: 10.48550/ARXIV.2604.24117
Measurement-Calibrated Multi-Camera Fusion for Vision-Based Indoor Localization
Diz, Mateo; Hoss, Jonathan; Klarmann, Noah; Hoß, Jonathan (2026)
IEEE 22nd International Conference on Automation Science and Engineering (CASE).
DOI: 10.48550/ARXIV.2606.13509
Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs
Hoss, Jonathan; Link, Moritz; Klarmann, Noah; Hoß, Jonathan (2026)
IEEE 22st International Conference on Automation Science and Engineering (CASE).
DOI: 10.48550/ARXIV.2604.23841
Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics
Hoss, Jonathan; Klarmann, Noah; Hoß, Jonathan (2026)
IEEE International Conference on Industrial Informatics.
DOI: 10.48550/ARXIV.2605.29078
A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints
Hoss, Jonathan; Schelling, Felix; Klarmann, Noah; Hoß, Jonathan (2025)
2025 IEEE 21st International Conference on Automation Science and Engineering (CASE).
DOI: 10.1109/case58245.2025.11163982
Prof. Dr.-Ing. Noah Klarmann
Technische Hochschule Rosenheim
Fakultät für Wirtschaftsingenieurwesen
T +49 (0) 8031 / 805 - 2661 noah.klarmann[at]th-rosenheim.de