Noah Klarmann

According to our database, Noah Klarmann authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics.

Jonathan Hoss, Noah Klarmann

CoRR, May, 2026

An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources.

Moritz Link, Jonathan Hoss, Noah Klarmann

CoRR, April, 2026

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs.

Jonathan Hoss, Moritz Link, Noah Klarmann

CoRR, April, 2026

DiAReL: Reinforcement Learning With Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control.

Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann, Alois Knoll

IEEE Trans. Control. Syst. Technol., March, 2026

2025

AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates.

Adhish Anitha Vilasan, Stephan Jäger, Noah Klarmann

CoRR, March, 2025

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints.

Jonathan Hoss, Felix Schelling, Noah Klarmann

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control.

Devang Mehta, Noah Klarmann

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.

Malte Schneevogt, Karsten Binninger, Noah Klarmann

CoRR, 2024

2023

A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping.

Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann

Mach. Learn. Knowl. Extr., March, 2023

Manufacturing Quality Control with Autoencoder-Based Defect Localization and Unsupervised Class Selection.

Devang Mehta, Noah Klarmann

CoRR, 2023

2022

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks.

Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Bare Luka Zagar, Nicolás Navarro-Guerrero, Alois C. Knoll

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Artificial Intelligence Narratives: An Objective Perspective on Current Developments.

Noah Klarmann

CoRR, 2021