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2020 – today
- 2024
[j2]Devang Mehta
, Noah Klarmann:
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control. Mach. Learn. Knowl. Extr. 6(1): 1-17 (2024)- [i6]Malte Schneevogt, Karsten Binninger, Noah Klarmann:
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics. CoRR abs/2409.11820 (2024) - 2023
- [j1]Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann:
A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping. Mach. Learn. Knowl. Extr. 5(2): 418-430 (2023) - [i5]Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann:
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping. CoRR abs/2302.13941 (2023) - [i4]Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann, Alois Knoll:
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control. CoRR abs/2306.09010 (2023) - [i3]Devang Mehta, Noah Klarmann:
Manufacturing Quality Control with Autoencoder-Based Defect Localization and Unsupervised Class Selection. CoRR abs/2309.06884 (2023) - 2022
- [c1]Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Bare Luka Zagar, Nicolás Navarro-Guerrero, Alois C. Knoll:
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks. IROS 2022: 10193-10200 - [i2]Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Bare Luka Zagar, Nicolás Navarro-Guerrero, Alois C. Knoll:
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks. CoRR abs/2206.06282 (2022) - 2021
- [i1]Noah Klarmann:
Artificial Intelligence Narratives: An Objective Perspective on Current Developments. CoRR abs/2103.11961 (2021)
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