Daniel Lütticke

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Parameter Optimization

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

Publications

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 (2024)
Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt
Beyond games: a systematic review of neural Monte Carlo tree search applications. Appl. Intell. 54 (1) (2024)
Jan Pennekamp, Anastasiia Belova, Thomas Bergs, Matthias Bodenbenner, Andreas Bührig-Polaczek, Markus Dahlmanns, Ike Kunze, Moritz Kröger, Sandra Geisler, Martin Henze, Daniel Lütticke, Benjamin Montavon, Philipp Niemietz, Lucia Ortjohann, Maximilian Rudack, Robert H. Schmitt, Uwe Vroomen, Klaus Wehrle, Michael Zeng
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead. CoRR (2023)
Alexander Nasuta, Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt
Reward Shaping for Job Shop Scheduling. LOD (1) (2023)
Johanna Lauwigi, Robert Jungnickel, Daniel Lütticke
Human-Machine Learning Approach for Ejection System Design in Injection Molds. HCI (41) (2023)
Marco Kemmerling, Daniel Lütticke, Robert H. Schmitt
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications. CoRR (2023)
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) (2023)
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)
Nicolas Schaaf, Hans Aoyang Zhou, Chrismarie Enslin, Florian Brillowski, Daniel Lütticke
Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks. ICAART (3) (2022)
Robert Jungnickel, Johanna Lauwigi, Vladimir Samsonov, Daniel Lütticke
Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement. LOD (2) (2022)
Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. Int. J. Semantic Comput. 16 (3) (2022)
Lars Leyendecker, Markus Schmitz, Hans Aoyang Zhou, Vladimir Samsonov, Marius Rittstieg, Daniel Lütticke
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. IRC (2021)
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)
Chrismarie Enslin, Vladimir Samsonov, Hans-Georg Köpken, Schirin Bär, Daniel Lütticke
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications. LOD (2021)
Michael Rath, Aymen Gannouni, Daniel Lütticke, Thomas Gries
Digitizing a Distributed Textile Production Process using Industrial Internet of Things: A Use-Case. ICPS (2021)
Vladimir Samsonov, Chrismarie Enslin, Hans-Georg Köpken, Schirin Baer, Daniel Lütticke
Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool. ICEIS (1) (2020)
Daniel Lütticke, Tobias Meisen
Design of an Automated Measuring System for RFID Transponders in Complex Environments. RFID-TA (2018)
Daniela Antkowiak, Daniel Lütticke, Tristan Langer, Thomas Thiele, Tobias Meisen, Sabina Jeschke
Cyber-Physical Production Systems: A Teaching Concept in Engineering Education. IIAI-AAI (2017)