Artificial Intelligence Narratives: An Objective Perspective on Current Developments. - Noah Klarmann (CoRR, 2021)

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 (IROS, 2022)

DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control. - Mohammadhossein Malmir; Josip Josifovski; Noah Klarmann; Alois Knoll (CoRR, 2023)

Manufacturing Quality Control with Autoencoder-Based Defect Localization and Unsupervised Class Selection. - Devang Mehta; Noah Klarmann (CoRR, 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., 2023)

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)

Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control. - Devang Mehta; Noah Klarmann (Mach. Learn. Knowl. Extr., 2024)

AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates. - Adhish Anitha Vilasan; Stephan Jäger; Noah Klarmann (CoRR, 2025)

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints. - Jonathan Hoss; Felix Schelling; Noah Klarmann (CoRR, 2025)