Evaluation and Comparison of Cross-lingual Text Processing Pipelines. - Robert Jungnickel; André Pomp; Andreas Kirmse; Xiang Li; Vladimir Samsonov; Tobias Meisen (SSCI, 2019)

More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. - Vladimir Samsonov; Johannes Lipp; Philipp Noodt; Alexia Fenollar Solvay; Tobias Meisen (SSCI, 2019)

Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool. - Vladimir Samsonov; Chrismarie Enslin; Hans-Georg Köpken; Schirin Baer; Daniel Lütticke (ICEIS (1), 2020)

Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste. - Aymen Gannouni; Vladimir Samsonov; Mohamed Behery; Tobias Meisen; Gerhard Lakemeyer (SMC, 2020)

Reinforcement Learning for Short-Term Production Scheduling with Sequence-Dependent Setup Waste. - Vladimir Samsonov; Mohamed Behery; Gerhard Lakemeyer (ERCIM News, 2020)

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)

Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. - Sebastian Pol; Schirin Baer; Danielle Turner; Vladimir Samsonov; Tobias Meisen (ICEIS (1), 2021)

Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications. - Chrismarie Enslin; Vladimir Samsonov; Hans-Georg Köpken; Schirin Bär; Daniel Lütticke (LOD, 2021)

Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement. - Robert Jungnickel; Johanna Lauwigi; Vladimir Samsonov; Daniel Lütticke (LOD (2), 2022)

Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward. - Vladimir Samsonov; Karim Ben Hicham; Tobias Meisen (Eng. Appl. Artif. Intell., 2022)

Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach. - Lars Leyendecker; Markus Schmitz; Hans Aoyang Zhou; Vladimir Samsonov; Marius Rittstieg; Daniel Lütticke (Int. J. Semantic Comput., 2022)