2 citations · 3 across the 4 of their papers we have counts for
4 papers
The Crucial Role of Problem Formulation in Real-World Reinforcement Learning
Georg Schäfer, Tatjana Krau, Jakob Rehrl +2
Reinforcement Learning (RL) offers promising solutions for control tasks in industrial cyber-physical systems (ICPSs), yet its real-world adoption remains limited. This paper demon…
A Generative Model Based Honeypot for Industrial OPC UA Communication
Olaf Sassnick, Georg Schäfer, Thomas Rosenstatter +1
Industrial Operational Technology (OT) systems are increasingly targeted by cyber-attacks due to their integration with Information Technology (IT) systems in the Industry 4.0 era.…
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
Georg Schäfer, Jakob Rehrl, Stefan Huber +1
This study conducts a comparative analysis of Model Predictive Control (MPC) and Proximal Policy Optimization (PPO), a Deep Reinforcement Learning (DRL) algorithm, applied to a 1-D…
Immutable and Democratic Data in permissionless Peer-to-Peer Systems
Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch +2
Conventional data storage methods like SQL and NoSQL offer a huge amount of possibilities with one major disadvantage, having to use a centralized authority. This authority may be…