- Fault-Tolerant Control of Programmable Logic Controller-Based Production Systems With Deep Reinforcement Learning. Journal of Mechanical Design 143 (7), 2021 mehr…
- Hierarchical Reinforcement Learning for Waypoint-based Exploration in Robotic Devices. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), IEEE, 2021 mehr…
- Utilizing AutomationML data on system topology for fault diagnosis with Case-Based Reasoning. 21st IFAC World Congress in Berlin, Germany, July 12-17, 2020, 2020 mehr…
- Deep Q-learning for the Control of special-purpose Automated Production Systems. 16th International Conference on Automation Science and Engineering (Case 2020), 2020 mehr…
- Analyzing Students' Mental Models of Technical Systems. 17th IEEE International Conference on Industrial Informatics (IEEE INDIN), 2019 mehr…
- A Qualitative Study of Industry 4.0 Use Cases and their Implementation in Electronics Manufacturing. 17th IEEE International Conference on Industrial Informatics (IEEE INDIN), 2019 mehr…
Jonas Zinn
Externer Doktorand
Technische Universität München
Lehrstuhl für Automatisierung und Informationssysteme
Boltzmannstr. 15
D-85748 Garching bei München
Tel: +49-89-289-16443
Fax: +49-89-289-16410
Raum: 0125
Email: jonas.zinn@tum.de