8 citations · 9 across the 3 of their papers we have counts for
3 papers
Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task
Reuf Kozlica, Stefan Wegenkittl, Simon Hirländer
This paper presents a comparison between two well-known deep Reinforcement Learning (RL) algorithms: Deep Q-Learning (DQN) and Proximal Policy Optimization (PPO) in a simulated pro…
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Reuf Kozlica, Georg Schäfer, Simon Hirländer +1
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…
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…