Manufacturing Control in Job Shop Environments with Reinforcement Learning. - Vladimir Samsonov; Marco Kemmerling; Maren Paegert; Daniel Lütticke; Frederick Sauermann; Andreas Gützlaff; Günther Schuh; Tobias Meisen (ICAART (2), 2021)

A Conceptual Framework for Production Process Parameter Optimization with Modular Hybrid Simulations. - Sylwia Olbrych; Marco Kemmerling; Hans Aoyang Zhou; Daniel Lütticke; Robert H. Schmitt (SEFM Workshops, 2022)

Investigation of reinforcement learning for shape optimization of profile extrusion dies. - Clemens Fricke; Daniel Wolff; Marco Kemmerling; Stefanie Elgeti (CoRR, 2022)

Experimental Digital Twin for Job Shops with Transportation Agents. - Aymen Gannouni; Luis Felipe Casas Murillo; Marco Kemmerling; Anas Abdelrazeq; Robert H. Schmitt (LION, 2023)

Reward Shaping for Job Shop Scheduling. - Alexander Nasuta; Marco Kemmerling; Daniel Lütticke; Robert H. Schmitt (LOD (1), 2023)

Feedback-Gated Rectified Linear Units. - Marco Kemmerling (CoRR, 2023)

A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series. - Zhipeng Ma; Marco Kemmerling; Daniel Buschmann; Chrismarie Enslin; Daniel Lütticke; Robert H. Schmitt (Symmetry, 2023)

Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory Networks. - Sylwia Olbrych; Robert Jungnickel; Michael Zeng 002; Cher Dao Tan; Marco Kemmerling; Anas Abdelrazeq; Robert H. Schmitt (DeLTA (2), 2024)

Solving Job Shop Problems with Neural Monte Carlo Tree Search. - Marco Kemmerling; Anas Abdelrazeq; Robert H. Schmitt (ICAART (3), 2024)

Estimating Pore Location of PBF-LB/M Processes with Segmentation Models. - Hans Aoyang Zhou; Jan Theunissen; Marco Kemmerling; Anas Abdelrazeq; Johannes Henrich Schleifenbaum; Robert H. Schmitt (CoRR, 2024)

Generative AI in Industrial Machine Vision - A Review. - Hans Aoyang Zhou; Dominik Wolfschläger; Constantinos Florides; Jonas Werheid; Hannes Behnen; Jan-Henrick Woltersmann; Tiago C. Pinto; Marco Kemmerling; Anas Abdelrazeq; Robert H. Schmitt (CoRR, 2024)

Beyond games: a systematic review of neural Monte Carlo tree search applications. - Marco Kemmerling; Daniel Lütticke; Robert H. Schmitt (Appl. Intell., 2024)

Curiosity Driven Reinforcement Learning for Job Shop Scheduling. - Alexander Nasuta; Marco Kemmerling; Hans Aoyang Zhou; Anas Abdelrazeq; Robert H. Schmitt (ICAART (2), 2025)