Potentials of Reinforcement Learning for Production

Marco Huber, Tobias Nagel, Raphael Lamprecht, Florian Eiling
JournalIndustrie 4.0 Management
Issue Volume 37, 2021, Edition 2, Pages 25-29
Open Accesshttps://doi.org/10.30844/I40M_21-2_S25-29
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Abstract

Reinforcement learning (RL) can be more and more used for real-world decision problems in production. The article gives an introduction into the functionalities of RL as well as its preferred areas of application. It further describes project examples from everyday production. The presented knowledge of current research is intended to make this sub-area of artificial intelligence accessible to a broader audience and to increase the added value in production.

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