most citedAn Architecture for Deploying Reinforcement Learning in Industrial Environments

8 citations · 8 across the 1 of their papers we have counts for

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5 papers

cs.AI20238 cited

An Architecture for Deploying Reinforcement Learning in Industrial Environments

Georg Schäfer, Reuf Kozlica, Stefan Wegenkittl +1

Industry 4.0 is driven by demands like shorter time-to-market, mass customization of products, and batch size one production. Reinforcement Learning (RL), a machine learning paradi…

cs.IR2023

An OPC UA-based industrial Big Data architecture

Eduard Hirsch, Simon Hoher, Stefan Huber

Industry 4.0 factories are complex and data-driven. Data is yielded from many sources, including sensors, PLCs, and other devices, but also from IT, like ERP or CRM systems. We ask…

cs.SE2023

Digital Twins of Business Processes as Enablers for IT / OT Integration

Hannes Waclawek, Georg Schäfer, Christoph Binder +2

The vision of Industry 4.0 introduces new requirements to Operational Technology (OT) systems. Solutions for these requirements already exist in the Information Technology (IT) wor…

cs.SE2023

IT/OT Integration by Design

Georg Schäfer, Hannes Waclawek, Sarah Riedmann +3

The four Industry 4.0 design principles information transparency, technical assistance, interconnection, and decentralized decisions pose challenges in integrating information tech…

cs.AI2023

A Mini Review on the utilization of Reinforcement Learning with OPC UA

Simon Schindler, Martin Uray, Stefan Huber

Reinforcement Learning (RL) is a powerful machine learning paradigm that has been applied in various fields such as robotics, natural language processing and game playing achieving…