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ORCIDMarco Kemmerling
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2020 – today
- 2024
[j2]Marco Kemmerling
, Daniel Lütticke, Robert H. Schmitt:
Beyond games: a systematic review of neural Monte Carlo tree search applications. Appl. Intell. 54(11-12): 1020-1046 (2024)- [c5]Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt:
Solving Job Shop Problems with Neural Monte Carlo Tree Search. ICAART (3) 2024: 149-158 - [i6]Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Lütticke, Robert H. Schmitt:
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series. CoRR abs/2403.04793 (2024) - [i5]Hans Aoyang Zhou, Jan Theunissen, Marco Kemmerling, Anas Abdelrazeq, Johannes Henrich Schleifenbaum, Robert H. Schmitt:
Estimating Pore Location of PBF-LB/M Processes with Segmentation Models. CoRR abs/2408.02507 (2024) - [i4]Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, Jonas Werheid, Hannes Behnen, Jan-Henrick Woltersmann, Tiago C. Pinto, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt:
Generative AI in Industrial Machine Vision - A Review. CoRR abs/2408.10775 (2024) - 2023
- [j1]Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Lütticke, Robert H. Schmitt:
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series. Symmetry 15(5): 982 (2023) - [c4]Aymen Gannouni, Luis Felipe Casas Murillo, Marco Kemmerling, Anas Abdelrazeq, Robert H. Schmitt:
Experimental Digital Twin for Job Shops with Transportation Agents. LION 2023: 363-377 - [c3]Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt:
Reward Shaping for Job Shop Scheduling. LOD (1) 2023: 197-211 - [i3]Marco Kemmerling:
Feedback-Gated Rectified Linear Units. CoRR abs/2301.02610 (2023) - [i2]Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt:
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications. CoRR abs/2303.08060 (2023) - 2022
- [c2]Sylwia Olbrych, Marco Kemmerling, Hans Aoyang Zhou, Daniel Lütticke, Robert H. Schmitt:
A Conceptual Framework for Production Process Parameter Optimization with Modular Hybrid Simulations. SEFM Workshops 2022: 17-25 - [i1]Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti:
Investigation of reinforcement learning for shape optimization of profile extrusion dies. CoRR abs/2212.12207 (2022) - 2021
- [c1]Vladimir Samsonov, Marco Kemmerling, Maren Paegert, Daniel Lütticke, Frederick Sauermann, Andreas Gützlaff, Günther Schuh, Tobias Meisen:
Manufacturing Control in Job Shop Environments with Reinforcement Learning. ICAART (2) 2021: 589-597
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