Python-Based Reinforcement Learning on Simulink Models

no code implementations • 14 May 2024 • Georg Schäfer, Max Schirl, Jakob Rehrl, Stefan Huber, Simon Hirlaender

This paper proposes a framework for training Reinforcement Learning agents using Python in conjunction with Simulink models.

C++ code Code Generation +1

A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications

no code implementations • 2 Jun 2023 • Reuf Kozlica, Georg Schäfer, Simon Hirländer, Stefan Wegenkittl

This application paper explores the potential of using reinforcement learning (RL) to address the demands of Industry 4. 0, including shorter time-to-market, mass customization, and batch size one production.

reinforcement-learning Reinforcement Learning (RL)

An Architecture for Deploying Reinforcement Learning in Industrial Environments

no code implementations • 2 Jun 2023 • Georg Schäfer, Reuf Kozlica, Stefan Wegenkittl, Stefan Huber

Industry 4. 0 is driven by demands like shorter time-to-market, mass customization of products, and batch size one production.

reinforcement-learning Reinforcement Learning (RL)

Immutable and Democratic Data in permissionless Peer-to-Peer Systems

no code implementations • 13 Jan 2021 • Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer

Conventional data storage methods like SQL and NoSQL offer a huge amount of possibilities with one major disadvantage, having to use a centralized authority.

Databases Cryptography and Security