- 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…
![](/fileadmin/_processed_/6/c/csm_JonasZinn_d018d2df60.jpg)
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