Noah Klarmann
Orcid: 0009-0008-9157-9228
According to our database1,
Noah Klarmann authored at least 11 papers
between 2021 and 2026.
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Bibliography
2026
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources.
CoRR, April, 2026
CoRR, April, 2026
DiAReL: Reinforcement Learning With Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control.
IEEE Trans. Control. Syst. Technol., March, 2026
2025
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates.
CoRR, March, 2025
A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints.
Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025
2024
Mach. Learn. Knowl. Extr., March, 2024
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics.
CoRR, 2024
2023
A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping.
Mach. Learn. Knowl. Extr., March, 2023
Manufacturing Quality Control with Autoencoder-Based Defect Localization and Unsupervised Class Selection.
CoRR, 2023
2022
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Artificial Intelligence Narratives: An Objective Perspective on Current Developments.
CoRR, 2021