# Deep reinforcement learning for semiconductor production scheduling

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-reinforcement-learning-for-semiconductor-production-scheduling/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bernd Waschneck,André Reichstaller,Lenz Belzner,Thomas Altenmüller,Thomas Bauernhansl,Alexander Knapp,Andreas Kyek |
| Citations | 127 |
| DOI | 10.1109/asmc.2018.8373191 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2807766588 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Thomas Bauernhansl](https://scholariq.org/researchers/thomas-bauernhansl/)

## Paper primary topic

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)

## Paper topics

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.