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ORCIDVladimir Samsonov
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2020 – today
- 2022
[j2]Vladimir Samsonov
, Karim Ben Hicham, Tobias Meisen:
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward. Eng. Appl. Artif. Intell. 112: 104868 (2022)- [j1]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): 381-402 (2022) - [c9]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: 27-31 - 2021
- [c8]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 - [c7]Sebastian Pol, Schirin Baer, Danielle Turner, Vladimir Samsonov, Tobias Meisen:
Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints. ICEIS (1) 2021: 515-526 - [c6]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: 35-42 - [c5]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: 261-276 - 2020
- [c4]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: 506-514 - [c3]Aymen Gannouni, Vladimir Samsonov, Mohamed Behery, Tobias Meisen, Gerhard Lakemeyer:
Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste. SMC 2020: 2640-2647 - [i1]Vladimir Samsonov, Mohamed Behery, Gerhard Lakemeyer:
Reinforcement Learning for Short-Term Production Scheduling with Sequence-Dependent Setup Waste. ERCIM News 2020(122) (2020)
2010 – 2019
- 2019
- [c2]Robert Jungnickel, André Pomp, Andreas Kirmse, Xiang Li, Vladimir Samsonov, Tobias Meisen:
Evaluation and Comparison of Cross-lingual Text Processing Pipelines. SSCI 2019: 417-425 - [c1]Vladimir Samsonov, Johannes Lipp, Philipp Noodt, Alexia Fenollar Solvay, Tobias Meisen:
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. SSCI 2019: 799-807
Coauthor Index
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