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Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.

L. Leyendecker, M. Schmitz, H. Zhou, V. Samsonov, M. Rittstieg, and D. Lütticke. Int. J. Semantic Comput., 16 (3): 381-402 (2022)

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Sergey Samsonov

Vladimir Spokoiny

Vladimir Milutinovi

Vladimir Borisov

Other publications of authors with the same name

Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool.V. Samsonov, C. Enslin, H. Köpken, S. Baer, and D. Lütticke. ICEIS (1), page 506-514. SCITEPRESS, (2020)Global Reward Design for Cooperative Agents to Achieve Flexible Production Control under Real-time Constraints.S. Pol, S. Baer, D. Turner, V. Samsonov, and T. Meisen. ICEIS (1), page 515-526. SCITEPRESS, (2021)Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement.R. Jungnickel, J. Lauwigi, V. Samsonov, and D. Lütticke. LOD (2), volume 13811 of Lecture Notes in Computer Science, page 27-31. Springer, (2022)Manufacturing Control in Job Shop Environments with Reinforcement Learning.V. Samsonov, M. Kemmerling, M. Paegert, D. Lütticke, F. Sauermann, A. Gützlaff, G. Schuh, and T. Meisen. ICAART (2), page 589-597. SCITEPRESS, (2021)Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.L. Leyendecker, M. Schmitz, H. Zhou, V. Samsonov, M. Rittstieg, and D. Lütticke. Int. J. Semantic Comput., 16 (3): 381-402 (2022)More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing.V. Samsonov, J. Lipp, P. Noodt, A. Solvay, and T. Meisen. SSCI, page 799-807. IEEE, (2019)Evaluation and Comparison of Cross-lingual Text Processing Pipelines.R. Jungnickel, A. Pomp, A. Kirmse, X. Li, V. Samsonov, and T. Meisen. SSCI, page 417-425. IEEE, (2019)Reinforcement Learning for Short-Term Production Scheduling with Sequence-Dependent Setup Waste.V. Samsonov, M. Behery, and G. Lakemeyer. ERCIM News, (2020)Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward.V. Samsonov, K. Hicham, and T. Meisen. Eng. Appl. Artif. Intell., (2022)Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste.A. Gannouni, V. Samsonov, M. Behery, T. Meisen, and G. Lakemeyer. SMC, page 2640-2647. IEEE, (2020)

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Disambiguation of "Samsonov, Vladimir"

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Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.

Please choose a person to relate this publication to

Sergey Samsonov

Sergey Samsonov

Vladimir Spokoiny

Vladimir Milutinovi

Vladimir Borisov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Samsonov, Vladimir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.

Please choose a person to relate this publication to

Sergey Samsonov

Sergey Samsonov

Vladimir Spokoiny

Vladimir Milutinovi

Vladimir Borisov

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.